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Singhal B, Chauhan S, Soni N, Gurjar V, Joshi V, Kaur P, Ratre P, Kumari R, Mishra PK. Modulatory Effects of Vitamin D: A Possible Approach to Mitigate Air Pollution Related Pregnancy Complications. J Reprod Infertil 2024; 25:79-101. [PMID: 39157803 PMCID: PMC11327426 DOI: 10.18502/jri.v25i2.16004] [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: 12/20/2023] [Accepted: 05/18/2024] [Indexed: 08/20/2024] Open
Abstract
Approximately 99% of people on the planet breathe air that exceeds the World Health Organization's permitted threshold for pollution. South Asia is home to the world's most polluted cities. Population-based studies have suggested that women's reproductive health outcomes are worsening due to air pollution. Preeclampsia, miscarriage, gestational diabetes, high blood pressure, and unfavorable birth outcomes, including preterm birth, low birth weight, or even stillbirth are all linked to exposure to air pollution during pregnancy. It is estimated that 0.61 million deaths in India alone were related to indoor air pollution. Females frequently cook in the household using solid fuel as a primary combustion source. Women in the regions with the highest population density are disproportionately affected by high levels of poor-quality indoor air. Recently, it has been proposed that air pollution has a distinct role in the onset of vitamin D deficiency. Numerous studies have explored associations between low vitamin D level and various female reproductive health conditions since the discovery of the vitamin D receptor. It is worthy to note that some of these reproductive health conditions positively correlate with the severity of air pollution. In this study, the evidence has been synthesized on vitamin D's protective properties and dietary and pharmaceutical interventions have been discussed to show their beneficial effects in decreasing the long-term negative impacts of air pollution on women's health.
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Affiliation(s)
| | | | - Nikita Soni
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Vikas Gurjar
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Vibhor Joshi
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Prasan Kaur
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Pooja Ratre
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Roshani Kumari
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
| | - Pradyumna Kumar Mishra
- - Division of Environmental Biotechnology, Genetics & Molecular Biology (EBGMB), ICMR-National Institute for Research in Environmental Health (NIREH), Bhopal, India
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Krajewski AK, Luben TJ, Warren JL, Rappazzo KM. Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003-2015. Environ Epidemiol 2023; 7:e278. [PMID: 38912391 PMCID: PMC11189686 DOI: 10.1097/ee9.0000000000000278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/04/2023] [Indexed: 06/25/2024] Open
Abstract
Background Preterm birth (PTB; <37 weeks completed gestation) is associated with exposure to air pollution, though variability in association magnitude and direction across exposure windows exists. We evaluated associations between weekly gestational exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) with PTB in a North Carolina Birth Cohort from 2003 to 2015 (N = 1,367,517). Methods Daily average PM2.5 and daily 8-hour maximum NO2 concentration estimates were obtained from a hybrid ensemble model with a spatial resolution of 1 km2. Daily 8-hour maximum census tract-level concentration estimates for O3 were obtained from the EPA's Fused Air Quality Surface Using Downscaling model. Air pollutant concentrations were linked by census tract to residential address at delivery and averaged across each week of pregnancy. Modified Poisson regression models with robust errors were used to estimate risk differences (RD [95% confidence intervals (CI)]) for an interquartile range increase in pollutants per 10,000 births, adjusted for potential confounders. Results Associations were similar in magnitude across weeks. We observed positive associations for PM2.5 and O3 exposures, but generally null associations with NO2. RDs ranged from 15 (95% CI = 11, 18) to 32 (27, 37) per 10,000 births for PM2.5; from -7 (-14, -1) to 0 (-5, 4) for NO2; and from 4 (1, 7) to 13 (10, 16) for O3. Conclusion Our results show that increased PM2.5 exposure is associated with an increased risk of PTB across gestational weeks, and these associations persist in multipollutant models with NO2 and/or O3.
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Affiliation(s)
- Alison K. Krajewski
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina
| | - Thomas J. Luben
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina
| | - Joshua L. Warren
- Department of Biostatistics, School of Public Health, Yale University, New Haven, Connecticut
| | - Kristen M. Rappazzo
- U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina
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Ahmad WA, Nirel R, Golan R, Kloog I, Rotem R, Negev M, Koren G, Levine H. Association between ambient particulate matter and preterm birth stratified by temperature: A population-based pregnancy cohort study. Int J Hyg Environ Health 2023; 254:114269. [PMID: 37832218 DOI: 10.1016/j.ijheh.2023.114269] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 09/16/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023]
Abstract
A growing body of literature reports associations between exposure to particulate matter with aerodynamic diameters ≤2.5 μm (PM2.5) and 2.5-10 μm (PM10-2.5) during pregnancy and preterm birth (PTB). However, the role of ambient temperature in PM-PTB associations was rarely investigated. In Israel, we used Maccabi Healthcare Services data to establish a population-based cohort of 381,265 singleton births reaching 24-42 weeks' gestation and birth weight of 500-5000 g (2004-2015). Daily PM and ambient temperature predictions from a satellite-based spatiotemporal model, at a 1 × 1 km spatial resolution, were linked to the date of birth and maternal residence. Mixed effects Cox regression models, adjusted for covariates, with a random intercept at the mother level were used to assess associations between mean exposure during pregnancy and PTB. We found that exposure to PM2.5 was positively associated with PTB when the average exposure during pregnancy was either low (first quintile) or high (fifth quintile), compared to exposure in the 2nd-4th quintiles, with hazard ratios (HRs) 1.18 (95% confidence interval [CI], 1.13-1.24) and 1.07 (95% CI, 1.02-1.12), respectively. The results revealed effect modification of temperature. For mothers exposed to low (below median) average temperature during pregnancy, HRs of PTB were 0.93 (95% CI, 0.87-1.00) and 1.21 (95% CI, 1.14-1.29) for the first and fifth PM2.5 quintiles, respectively, when compared to the 2nd-4th quintiles. However, a reverse trend was indicated for high-temperature pregnancies, where the corresponding HRs were 1.48 (95% CI, 1.39-1.58) and 0.92, (95% CI, 0.96-0.98). In conclusion, consideration of climatic factors can provide new insights into the risk of PTB as a result of exposure to PM2.5 during pregnancy.
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Affiliation(s)
- Wiessam Abu Ahmad
- Hebrew University-Hadassah School of Public Health, Hebrew University of Jerusalem, Israel.
| | - Ronit Nirel
- Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rachel Golan
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Itai Kloog
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ran Rotem
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel
| | - Maya Negev
- University of Haifa, School of Public Health, Haifa, Israel
| | - Gideon Koren
- Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel; Tel Aviv University, Tel-Aviv, Israel
| | - Hagai Levine
- Hebrew University-Hadassah School of Public Health, Hebrew University of Jerusalem, Israel
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Bai S, Du S, Liu H, Lin S, Zhao X, Wang Z, Wang Z. The causal and independent effect of ozone exposure during pregnancy on the risk of preterm birth: Evidence from northern China. ENVIRONMENTAL RESEARCH 2022; 214:113879. [PMID: 35835165 DOI: 10.1016/j.envres.2022.113879] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/15/2022] [Accepted: 07/06/2022] [Indexed: 06/15/2023]
Abstract
The concentration of ozone (O3) in the environment is gradually increasing, but there are limited reports on the exposure to O3 during pregnancy on the risk of adverse birth outcomes. Our study aimed to examine the causal and independent effect of O3 exposure during pregnancy on the risk of preterm birth (PTB) and to identify the critical window. Based on the baseline population of the birth cohort in Jinan, northern China, we obtained the individual exposure for each subject during pregnancy of ambient 8-h moving average O3 through the inverse distance weighting model. The effect of O3 exposure during pregnancy on PTB was evaluated through the time-dependent Cox proportional-hazard models. And we assessed the causal relationship by controlling unknown confounding factors using the instrumental variable (IV) analysis, estimated the independent effect by principal component analysis, and identified the critical window period of exposure through the distributed lag model. Among 6501 subjects, 285 mothers delivered prematurely. The median (IQR) of O3 concentration during pregnancy was 109.51 (23.54) μg/m3. The high level of O3 exposure (>173.64 μg/m³) increased the risk of PTB, with HR of 1.92 (95% CI: 1.38-2.66). Furthermore, the HR (95% CI) of the O3 estimated value calculated by the IV (wind speed) on the risk of PTB was 2.63 (1.41-4.88). In addition, the high level of O3 exposure was associated with the risk of PTB in the 13th-18th gestational weeks. Therefore, the high level of O3 exposure during pregnancy may independently increase the risk of PTB, which may be a causal effect. The 13th to 18th week of gestation is a critical window for preventing this risk.
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Affiliation(s)
- Shuoxin Bai
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Shuang Du
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Haiping Liu
- Xianwen Community Health Service Center, Jinan, Shandong, PR China
| | - Shaoqian Lin
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China
| | - Xiaodong Zhao
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China
| | - Zhaojun Wang
- Shandong Jinan Ecological Environment Monitoring Center, Jinan, Shandong, PR China
| | - Zhiping Wang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
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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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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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Respiratory Health Effects of Wildfire Smoke during Summer of 2018 in the Jämtland Härjedalen Region, Sweden. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136987. [PMID: 34210080 PMCID: PMC8297091 DOI: 10.3390/ijerph18136987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/21/2021] [Accepted: 06/26/2021] [Indexed: 11/23/2022]
Abstract
During the summer of 2018 Sweden experienced a high occurrence of wildfires, most intense in the low-densely populated Jämtland Härjedalen region. The aim of this study was to investigate any short-term respiratory health effects due to deteriorated air quality generated by the smoke from wildfires. For each municipality in the region Jämtland Härjedalen, daily population-weighted concentrations of fine particulate matter (PM2.5) were calculated through the application of the MATCH chemistry transport model. Modelled levels of PM2.5 were obtained for two summer periods (2017, 2018). Potential health effects of wildfire related levels of PM2.5 were examined by studying daily health care contacts concerning respiratory problems in each municipality in a quasi-Poisson regression model, adjusting for long-term trends, weekday patterns and weather conditions. In the municipality most exposed to wildfire smoke, having 9 days with daily maximum 1-h mean of PM2.5 > 20 μg/m3, smoke days resulted in a significant increase in daily asthma visits the same and two following days (relative risk (RR) = 2.64, 95% confidence interval (CI): 1.28–5.47). Meta-estimates for all eight municipalities revealed statistically significant increase in asthma visits (RR = 1.68, 95% CI: 1.09–2.57) and also when grouping all disorders of the lower airways (RR = 1.40, 95% CI: 1.01–1.92).
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Olsson D, Johansson C, Forsberg B. Associations between Vehicle Exhaust Particles and Ozone at Home Address and Birth Weight. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17113836. [PMID: 32481677 PMCID: PMC7312427 DOI: 10.3390/ijerph17113836] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/22/2020] [Accepted: 05/27/2020] [Indexed: 12/17/2022]
Abstract
We have studied the associations between exhaust particles and birth weight. Adjustments were made for ozone and potential confounding factors at the individual level. The study included all singletons conceived between August 2003 and February 2013 with mothers living in Greater Stockholm. We obtained record-based register data from the Swedish Medical Birth Register. Data concerning the parents were provided by Statistics Sweden. Exposure levels for nearly 187,000 pregnancies were calculated using a validated air quality dispersion model with input from a detailed emission database. A higher socioeconomic status was associated with higher levels of exhaust particles at the home address. In this region, with rather low air pollution levels, the associations between levels of exhaust particles and birth weight were negative for all three of the studied exposure windows (i.e., first and second trimester and full pregnancy). For the entire pregnancy, the linear decrease in birth weight was 7.5 grams (95% CI−12.0; −2.9) for an increase in exposure, corresponding to the inter quartile range (IQR = 209 ng/m3). We also found that the risk of being born small for gestational age increased with the level of exhaust particles in all three exposure windows, but these associations were not statistically significant.
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Affiliation(s)
- David Olsson
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, 901 87 Umeå, Sweden;
- Correspondence:
| | - Christer Johansson
- Department of Environmental Science, Stockholm University, 106 91 Stockholm, Sweden;
- Environment and Health Administration, SLB-analys, 104 20 Stockholm, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, 901 87 Umeå, Sweden;
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Siddika N, Rantala AK, Antikainen H, Balogun H, Amegah AK, Ryti NRI, Kukkonen J, Sofiev M, Jaakkola MS, Jaakkola JJK. Short-term prenatal exposure to ambient air pollution and risk of preterm birth - A population-based cohort study in Finland. ENVIRONMENTAL RESEARCH 2020; 184:109290. [PMID: 32126375 DOI: 10.1016/j.envres.2020.109290] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/10/2023]
Abstract
BACKGROUND Previous studies have provided evidence that prenatal exposure to low-level air pollution increases the risk of preterm birth (PTB), but the findings of the effects of short-term exposure have been inconclusive. Moreover, there is little knowledge on potential synergistic effects of different combinations of air pollutants. OBJECTIVES To assess independent and joint effects of prenatal exposure to air pollutants during the week prior to the delivery on the risk of PTB. METHODS The study population included 2568 members of the Espoo Cohort Study, living in the City of Espoo, Finland, born between 1984 and 1990. We assessed individual-level prenatal exposure to ambient air pollutants of interest based on maternal residential addresses, while taking into account their residential mobility. We used both regional-to-city-scale dispersion modelling and land-use regression-based method to estimates the pollutant concentrations. We contrasted the risk of PTB in the highest quartile (Q4) of exposure to the lower exposure quartiles (Q1-Q3) during the specific periods of pregnancy. We applied Poisson regression analysis to estimate the adjusted risk ratios (RRs) with their 95% confidence intervals (CI), adjusting for season of birth, maternal age, sex of the baby, family's socioeconomic status, maternal smoking, and exposure to environmental tobacco smoke during pregnancy, single parenthood, and exposure to other air pollutants (this in multi-pollutant models). RESULTS The risk of PTB was related to exposures to PM2.5, PM10 and NO2 during the week prior to the delivery with adjusted RRs of 1.67 (95%CI: 1.14, 2.46), 1.60 (95% CI: 1.09, 2.34) and 1.65 (95% CI: 1.14, 2.37), from three-pollutant models respectively. There were no significant joint effects for these different air pollutants (during the week prior to the delivery). CONCLUSION Our results provide evidence that exposure to fairly low-level air pollution may trigger PTB, but synergistic effects of different pollutants are not likely.
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Affiliation(s)
- Nazeeba Siddika
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Aino K Rantala
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Harri Antikainen
- Geography Research Unit, P.O. Box 3000, 90014, University of Oulu, Oulu, Finland
| | - Hamudat Balogun
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - A Kofi Amegah
- Public Health Research Group, Department of Biomedical Sciences, University Post Office, University of Cape Coast, Cape Coast, Ghana
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Jaakko Kukkonen
- Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
| | - Mikhail Sofiev
- Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
| | - Maritta S Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, 90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, 90014, University of Oulu, Oulu, Finland.
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Smith RB, Beevers SD, Gulliver J, Dajnak D, Fecht D, Blangiardo M, Douglass M, Hansell AL, Anderson HR, Kelly FJ, Toledano MB. Impacts of air pollution and noise on risk of preterm birth and stillbirth in London. ENVIRONMENT INTERNATIONAL 2020; 134:105290. [PMID: 31783238 DOI: 10.1016/j.envint.2019.105290] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 10/14/2019] [Accepted: 10/25/2019] [Indexed: 05/17/2023]
Abstract
BACKGROUND Evidence for associations between ambient air pollution and preterm birth and stillbirth is inconsistent. Road traffic produces both air pollutants and noise, but few studies have examined these co-exposures together and none to date with all-cause or cause-specific stillbirths. OBJECTIVES To analyse the relationship between long-term exposure to air pollution and noise at address level during pregnancy and risk of preterm birth and stillbirth. METHODS The study population comprised 581,774 live and still births in the Greater London area, 2006-2010. Outcomes were preterm birth (<37 completed weeks gestation), all-cause stillbirth and cause-specific stillbirth. Exposures during pregnancy to particulate matter with diameter <2.5 μm (PM2.5) and <10 μm (PM10), ozone (O3), primary traffic air pollutants (nitrogen dioxide, nitrogen oxides, PM2.5 from traffic exhaust and traffic non-exhaust), and road traffic noise were estimated based on maternal address at birth. RESULTS An interquartile range increase in O3 exposure was associated with elevated risk of preterm birth (OR 1.15 95% CI: 1.11, 1.18, for both Trimester 1 and 2), all-cause stillbirth (Trimester 1 OR 1.17 95% CI: 1.07, 1.27; Trimester 2 OR 1.20 95% CI: 1.09, 1.32) and asphyxia-related stillbirth (Trimester 1 OR 1.22 95% CI: 1.01, 1.49). Odds ratios with the other air pollutant exposures examined were null or <1, except for primary traffic non-exhaust related PM2.5, which was associated with 3% increased odds of preterm birth (Trimester 1) and 7% increased odds stillbirth (Trimester 1 and 2) when adjusted for O3. Elevated risk of preterm birth was associated with increasing road traffic noise, but only after adjustment for certain air pollutant exposures. DISCUSSION Our findings suggest that exposure to higher levels of O3 and primary traffic non-exhaust related PM2.5 during pregnancy may increase risk of preterm birth and stillbirth; and a possible relationship between long-term traffic-related noise and risk of preterm birth. These findings extend and strengthen the evidence base for important public health impacts of ambient ozone, particulate matter and noise in early life.
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Affiliation(s)
- Rachel B Smith
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Sean D Beevers
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - John Gulliver
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK
| | - David Dajnak
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK
| | - Margaret Douglass
- UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - Anna L Hansell
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, W2 1PG, UK
| | - H Ross Anderson
- MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; Population Health Research Institute, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK
| | - Frank J Kelly
- NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK; MRC-PHE Centre for Environment and Health, Environmental Research Group, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK
| | - Mireille B Toledano
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London W2 1PG, UK; NIHR HPRU in Health Impact of Environmental Hazards, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, UK.
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Siddika N, Rantala AK, Antikainen H, Balogun H, Amegah AK, Ryti NRI, Kukkonen J, Sofiev M, Jaakkola MS, Jaakkola JJK. Synergistic effects of prenatal exposure to fine particulate matter (PM 2.5) and ozone (O 3) on the risk of preterm birth: A population-based cohort study. ENVIRONMENTAL RESEARCH 2019; 176:108549. [PMID: 31252204 DOI: 10.1016/j.envres.2019.108549] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/14/2019] [Accepted: 06/18/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND There is some evidence that prenatal exposure to low-level air pollution increases the risk of preterm birth (PTB), but little is known about synergistic effects of different pollutants. OBJECTIVES We assessed the independent and joint effects of prenatal exposure to air pollution during the entire duration of pregnancy. METHODS The study population consisted of the 2568 members of the Espoo Cohort Study, born between 1984 and 1990, and living in the City of Espoo, Finland. We assessed individual-level prenatal exposure to ambient air pollutants of interest at all the residential addresses from conception to birth. The pollutant concentrations were estimated both by using regional-to-city-scale dispersion modelling and land-use regression-based method. We applied Poisson regression analysis to estimate the adjusted risk ratios (RRs) with their 95% confidence intervals (CI) by comparing the risk of PTB among babies with the highest quartile (Q4) of exposure during the entire duration of pregnancy with those with the lower exposure quartiles (Q1-Q3). We adjusted for season of birth, maternal age, sex of the baby, family's socioeconomic status, maternal smoking during pregnancy, maternal exposure to environmental tobacco smoke during pregnancy, single parenthood, and exposure to other air pollutants (only in multi-pollutant models) in the analysis. RESULTS In a multi-pollutant model estimating the effects of exposure during entire pregnancy, the adjusted RR was 1.37 (95% CI: 0.85, 2.23) for PM2.5 and 1.64 (95% CI: 1.15, 2.35) for O3. The joint effect of PM2.5 and O3 was substantially higher, an adjusted RR of 3.63 (95% CI: 2.16, 6.10), than what would have been expected from their independent effects (0.99 for PM2.5 and 1.34 for O3). The relative risk due to interaction (RERI) was 2.30 (95% CI: 0.95, 4.57). DISCUSSION Our results strengthen the evidence that exposure to fairly low-level air pollution during pregnancy increases the risk of PTB. We provide novel observations indicating that individual air pollutants such as PM2.5 and O3 may act synergistically potentiating each other's adverse effects.
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Affiliation(s)
- Nazeeba Siddika
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Aino K Rantala
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Harri Antikainen
- Geography Research Unit, P.O. Box 3000, 90014, University of Oulu, Oulu, Finland
| | - Hamudat Balogun
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - A Kofi Amegah
- Public Health Research Group, Department of Biomedical Sciences, University Post Office, University of Cape Coast, Cape Coast, Ghana
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jaakko Kukkonen
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Mikhail Sofiev
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Maritta S Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland.
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12
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Wang Q, Benmarhnia T, Li C, Knibbs LD, Bao J, Ren M, Zhang H, Wang S, Zhang Y, Zhao Q, Huang C. Seasonal analyses of the association between prenatal ambient air pollution exposure and birth weight for gestational age in Guangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 649:526-534. [PMID: 30179811 DOI: 10.1016/j.scitotenv.2018.08.303] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 08/11/2018] [Accepted: 08/22/2018] [Indexed: 05/16/2023]
Abstract
Ambient air pollution has been linked to small for gestational age (SGA); however, the relationship with large for gestational age (LGA) is unclear and very few studies have investigated seasonal effects on the association between air pollution and SGA or LGA. Using birth registry data of 506,000 singleton live births from 11 districts in Guangzhou, China between January 2015 and July 2017, we examined associations between ambient air pollutants (PM2.5, PM10, NO2, SO2, and O3) and SGA/LGA, and further assessed the modification effect of season. Daily concentrations of air pollutants from 11 monitoring stations were used to estimate district-specific exposures for each participant based on their district of residence during pregnancy. Two-level binary logistic regression models were used to evaluate associations between air pollution and SGA/LGA. Stratified analyses by season and a Cochran Q test were performed to assess the modification of season. Exposure to PM2.5, NO2, SO2, and O3 was significantly associated with increased risk of SGA, especially for exposure during the second and third trimester. For an interquartile range (IQR) increase in PM2.5 (6.5 μg/m3), NO2 (12.7 μg/m3), SO2 (2.8 μg/m3) and O3 (20.8 μg/m3) during the entire pregnancy, SGA risk increased by 2% (OR = 1.02, 95% CI: 1.00-1.04), 8% (OR = 1.08, 95% CI: 1.04-1.12), 2% (OR = 1.02, 95% CI: 1.01-1.03), and 14% (1.14, 1.11-1.17), respectively. A decreased risk of LGA was found for PM2.5, PM10, SO2, and O3 during the first trimester or entire pregnancy. When examined by season, significant associations between air pollutants and SGA were observed for women who conceived during summer or fall, and the patterns were consistent for all pollutants. Our study suggests that conception during different seasons might modify the association between ambient air pollution and SGA.
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Affiliation(s)
- Qiong Wang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tarik Benmarhnia
- Department of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California, San Diego, CA, USA
| | - Changchang Li
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Luke D Knibbs
- School of Public Health, The University of Queensland, Herston, Australia
| | - Junzhe Bao
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meng Ren
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huanhuan Zhang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Suhan Wang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yawei Zhang
- School of Public Health, Yale University, New Haven, CT, USA
| | - Qingguo Zhao
- Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Research Institute of Guangdong Province, Guangzhou, China; Key Laboratory of Male Reproduction and Genetics (National Health and Family Planning Commission), Family Planning Special Hospital of Guangdong Province, Guangzhou, China.
| | - Cunrui Huang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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13
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Nansook P, Naidoo RN, Muttoo S, Asharam K, Ramkaran P, Phulukdaree A, Chuturgoon AA. IL-17A[G197G]-Association between NOxand gestational age in a South African birth cohort. Int J Immunogenet 2018; 45:54-62. [DOI: 10.1111/iji.12358] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 11/09/2017] [Accepted: 01/18/2018] [Indexed: 12/29/2022]
Affiliation(s)
- P. Nansook
- Discipline of Medical Biochemistry; School of Laboratory Medicine and Medical Sciences; University of KwaZulu-Natal; Durban South Africa
| | - R. N. Naidoo
- Department of Occupational and Environmental Health; School of Nursing and Public Health; Durban South Africa
| | - S. Muttoo
- Department of Occupational and Environmental Health; School of Nursing and Public Health; Durban South Africa
| | - K. Asharam
- Department of Occupational and Environmental Health; School of Nursing and Public Health; Durban South Africa
| | - P. Ramkaran
- Discipline of Medical Biochemistry; School of Laboratory Medicine and Medical Sciences; University of KwaZulu-Natal; Durban South Africa
| | - A. Phulukdaree
- Discipline of Medical Biochemistry; School of Laboratory Medicine and Medical Sciences; University of KwaZulu-Natal; Durban South Africa
| | - A. A. Chuturgoon
- Discipline of Medical Biochemistry; School of Laboratory Medicine and Medical Sciences; University of KwaZulu-Natal; Durban South Africa
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14
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Nansook P, Naidoo RN, Ramkaran P, Phulukdaree A, Muttoo S, Asharam K, Chuturgoon AA. IL-1β haplotype influences the effect of NO x exposure on gestational age in the South African MACE birth cohort. Hum Exp Toxicol 2017; 37:679-689. [PMID: 28875725 DOI: 10.1177/0960327117728386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Cytokines, molecules within the immune system that affect either a pro- or anti-inflammatory response, have previously been shown to influence birth outcomes. The maternal cytokine gene-environment interactions are thought to alter their expression, potentially influencing susceptibility to adverse birth outcomes. The aim of this study was to determine the association between the maternal interleukin-1β (IL-1β) haplotype and expression variation with oxides of nitrogen (NOx) levels, and thereafter investigate the IL-1β haplotype-specific effects of NOx exposure levels, IL-1β mRNA expression and other variables on gestational age. MATERIAL AND METHODS Using the prospective Mother and Child in the Environment (MACE) birth cohort in Durban, South Africa, 335 participants were genotyped for the IL-1β haplotype. Previous studies showed that three single nucleotide polymorphisms (SNPs), IL-1β-1464G/C, -511C/T and -31C/T, constitute the IL-1β functional haplotype. These SNPs were genotyped using a restriction fragment length polymorphism assay, while IL-1β mRNA expression was measured using a quantitative real-time polymerase chain reaction assay. Individual estimates of NOx exposure were obtained by land use regression modelling. A multivariate linear regression analysis was employed to test for significant effects on gestational age. RESULTS IL-1β mRNA expression was found to possess a haplotype-dependent effect ( p = 0.0001) and its expression levels positively correlated with NOx levels ( r = 0.34; p = 0.006). In the high haplotype model, a unit increase in NOx exposure level was associated with a decrease in gestational age by 1 week ( p = 0.02). Furthermore, gestational age decreased by 0.9 weeks for every unit increase of IL-1β mRNA expression level ( p = 0.025). HIV-1 positivity was associated with a 0.2-week decrease in gestational age ( p = 0.035) in the intermediate haplotype model and a 0.4-week decrease in the high haplotype model ( p = 0.044). CONCLUSION These data have implications for better understanding the effect of prenatal NOx exposure on gestational age and demonstrate the role of the IL-1β haplotype in modulating the effects of NOx exposure.
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Affiliation(s)
- P Nansook
- 1 Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - R N Naidoo
- 2 Department of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - P Ramkaran
- 1 Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - A Phulukdaree
- 1 Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - S Muttoo
- 2 Department of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - K Asharam
- 2 Department of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - A A Chuturgoon
- 1 Discipline of Medical Biochemistry, School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
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16
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Ferguson KK, Chin HB. Environmental chemicals and preterm birth: Biological mechanisms and the state of the science. CURR EPIDEMIOL REP 2017; 4:56-71. [PMID: 28944158 PMCID: PMC5608103 DOI: 10.1007/s40471-017-0099-7] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
PURPOSE OF REVIEW Preterm birth is a significant worldwide health problem of uncertain origins. The extant body of literature examining environmental contaminant exposures in relation to preterm birth is extensive but results remain ambiguous for most organic pollutants, metals and metalloids, and air pollutants. In the present review we examine recent epidemiologic studies investigating these associations, and identify recent advances and the state of the science. Additionally, we highlight biological mechanisms of action in the pathway between chemical exposures and preterm birth, including inflammation, oxidative stress, and endocrine disruption, that deserve more attention in this context. RECENT FINDINGS Important advances have been made in the study of the environment and preterm birth, particularly in regard to exposure assessment methods, exploration of effect modification by co-morbidities and exposures, and in identification of windows of vulnerability during gestation. There is strong evidence for an association between maternal exposure to some persistent pesticides, lead, and fine particulate matter, but data on other contaminants is sparse and only suggestive trends can be noted with the current data. SUMMARY Beyond replicating current findings, further work must be done to improve understanding of mechanisms underlying the associations observed between environmental chemical exposures and preterm birth. By examining windows of vulnerability, disaggregating preterm birth by phenotypes, and measuring biomarkers of mechanistic pathways in these epidemiologic studies we can improve our ability to detect associations with exposure, provide additional evidence for causality in an observational setting, and identify opportunities for intervention.
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Affiliation(s)
- Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Helen B. Chin
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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17
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Giorgis-Allemand L, Pedersen M, Bernard C, Aguilera I, Beelen RMJ, Chatzi L, Cirach M, Danileviciute A, Dedele A, van Eijsden M, Estarlich M, Fernández-Somoano A, Fernández MF, Forastiere F, Gehring U, Grazuleviciene R, Gruzieva O, Heude B, Hoek G, de Hoogh K, van den Hooven EH, Håberg SE, Iñiguez C, Jaddoe VWV, Korek M, Lertxundi A, Lepeule J, Nafstad P, Nystad W, Patelarou E, Porta D, Postma D, Raaschou-Nielsen O, Rudnai P, Siroux V, Sunyer J, Stephanou E, Sørensen M, Eriksen KT, Tuffnell D, Varró MJ, Vrijkotte TGM, Wijga A, Wright J, Nieuwenhuijsen MJ, Pershagen G, Brunekreef B, Kogevinas M, Slama R. The Influence of Meteorological Factors and Atmospheric Pollutants on the Risk of Preterm Birth. Am J Epidemiol 2017; 185:247-258. [PMID: 28087514 DOI: 10.1093/aje/kww141] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Accepted: 10/20/2016] [Indexed: 12/13/2022] Open
Abstract
Atmospheric pollutants and meteorological conditions are suspected to be causes of preterm birth. We aimed to characterize their possible association with the risk of preterm birth (defined as birth occurring before 37 completed gestational weeks). We pooled individual data from 13 birth cohorts in 11 European countries (71,493 births from the period 1994-2011, European Study of Cohorts for Air Pollution Effects (ESCAPE)). City-specific meteorological data from routine monitors were averaged over time windows spanning from 1 week to the whole pregnancy. Atmospheric pollution measurements (nitrogen oxides and particulate matter) were combined with data from permanent monitors and land-use data into seasonally adjusted land-use regression models. Preterm birth risks associated with air pollution and meteorological factors were estimated using adjusted discrete-time Cox models. The frequency of preterm birth was 5.0%. Preterm birth risk tended to increase with first-trimester average atmospheric pressure (odds ratio per 5-mbar increase = 1.06, 95% confidence interval: 1.01, 1.11), which could not be distinguished from altitude. There was also some evidence of an increase in preterm birth risk with first-trimester average temperature in the -5°C to 15°C range, with a plateau afterwards (spline coding, P = 0.08). No evidence of adverse association with atmospheric pollutants was observed. Our study lends support for an increase in preterm birth risk with atmospheric pressure.
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Affiliation(s)
- Lise Giorgis-Allemand
- Inserm and Univ. Grenoble Alpes, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
| | - Marie Pedersen
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense C, Denmark
| | - Claire Bernard
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Inmaculada Aguilera
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, P.O. Box 4002, Basel, Switzerland
- University of Basel, Petersplatz 1, 4003 Basel, Switzerland
| | - Rob M J Beelen
- Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
- Center for Sustainability, Environment and Health, National Institute for Public Health and the Environment (RIVM), P.O. Box 1, 3720 BA, Bilthoven, The Netherlands
| | - Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marta Cirach
- Campus MAR, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Asta Danileviciute
- Department of Environmental Science, Vytauto Didziojo Universitetas, K. Donelaicio 58, Kaunas 44248, Lithuania
| | - Audrius Dedele
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Manon van Eijsden
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | | | - Ana Fernández-Somoano
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Dept of Medicine, University of Oviedo, Asturias, Spain
| | - Mariana F Fernández
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Hospitales Universitarios de Granada, Spain
| | | | - Ulrike Gehring
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Olena Gruzieva
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Barbara Heude
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences (IRAS), University of Utrecht, Utrecht, The Netherlands
| | - Kees de Hoogh
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Environmental Science, Vytauto Didziojo Universitetas, K. Donelaicio 58, Kaunas 44248, Lithuania
| | - Edith H van den Hooven
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Siri E Håberg
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | - Carmen Iñiguez
- University of Malaga, Department of Ecology, Faculty of Sciences, Boulevard Louis Pasteur s/n, 29010 Málaga, Spain
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Paediatrics, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Michal Korek
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Aitana Lertxundi
- Universidad del País Vasco UPV-EUH, Spain; Health Research Institute, Biodonostia, San Sebastián, Spain
| | - Johanna Lepeule
- Université Grenoble Alpes, CNRS UMR 5309, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
- INSERM U1209, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
- CHU de Grenoble, IAB, Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Grenoble, France
| | - Per Nafstad
- Institute of Health and Society, University of Oslo, P.O. Box 1130 Blindern, Oslo, 0318 Norway
| | | | - Evridiki Patelarou
- Department of Adult Nursing, Florence Nightingale Faculty of Nursing and Midwifery, King's College London, London, UK
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health System, Rome, Italy
| | - Dirkje Postma
- Dept of Pulmonary Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center , Copenhagen , Denmark
- Department of Environmental Science , Aarhus University , Roskilde , Denmark
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Peter Rudnai
- National Public Health Center, National Directorate of Environmental Health, 1097 Budapest, Hungary
| | - Valérie Siroux
- Inserm, Institut Albert Bonniot (IAB),Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Grenoble F-38042,France
| | - Jordi Sunyer
- Campus MAR, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Euripides Stephanou
- Environmental Chemical Processes Laboratory (ECPL), Department of Chemistry, University of Crete, 71003, Heraklion, Greece
| | - Mette Sørensen
- Department of Pathology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Kirsten Thorup Eriksen
- Diet Genes Environment Unit, Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
| | - Derek Tuffnell
- Bradford Women's and Newborn Unit, Bradford Teaching Hospitals NHS Foundation, Bradford, UK
| | - Mihály J Varró
- Department of Community Health,National Institute of Environmental Health,Hungary
| | - Tanja G M Vrijkotte
- Academic Medical Centre, Amsterdam Public Health research institute, Department of Public Health, Amsterdam, The Netherlands
| | - Alet Wijga
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Hospitales Universitarios de Granada, Spain
| | - John Wright
- Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Dept of Medicine, University of Oviedo, Asturias, Spain
| | - Mark J Nieuwenhuijsen
- Joint Research Unit for Epidemiology and Environmental Health, FISABIO-Universitat de València-Universitat Jaume I, Valencia, Spain
- Joint Research Unit for Epidemiology and Environmental Health, FISABIO-Universitat de València-Universitat Jaume I, Valencia, Spain
| | - Göran Pershagen
- Institute for Risk Assessment Sciences (IRAS), University of Utrecht, Utrecht, The Netherlands
| | - Bert Brunekreef
- Department of Epidemiology and Health Promotion, Public Health Service of Amsterdam (GGD), Amsterdam, The Netherlands
| | - Manolis Kogevinas
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Environmental Science, Vytauto Didziojo Universitetas, K. Donelaicio 58, Kaunas 44248, Lithuania
- Department of Environmental Sciences , Vytautas Magnus University , Kaunas , Lithuania
| | - Rémy Slama
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
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Li S, Guo Y, Williams G. Acute Impact of Hourly Ambient Air Pollution on Preterm Birth. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1623-1629. [PMID: 27128028 PMCID: PMC5047774 DOI: 10.1289/ehp200] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 10/29/2015] [Accepted: 04/15/2016] [Indexed: 05/21/2023]
Abstract
BACKGROUND Preterm birth is a major perinatal health problem, but factors leading to it are still not completely understood. OBJECTIVES Our goal was to identify the relation between acute increase in ambient air pollution in a few hours before onset of labor and the risk of preterm birth. METHODS We collected registered birth outcome data and hourly ambient air pollution measurements during 2009‒2013 in Brisbane, Australia. Using a time-stratified case-crossover design and conditional logistic regression models with natural cubic splines, we assessed the shape of air pollution-preterm birth curve, after controlling for potential confounders. We also examined the effect modification of other factors. RESULTS The association between air pollution [nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)] and preterm birth was nonlinear. Threshold concentrations for the mean of 0‒24 hr NO2, 24‒48 hr SO2, and 24‒48 hr CO before onset of labor were 7.6 parts per billion (ppb), 3.8 ppb, and 162.5 ppb, respectively. Increases in air pollution concentrations above thresholds were associated with increased risks of preterm birth. The odds ratios of preterm birth at the 95th percentile of NO2, SO2, and CO against the thresholds were 1.17 (95% CI: 1.08, 1.27), 1.01 (95% CI: 0.99, 1.04), and 1.18 (95% CI: 1.06, 1.32), respectively. The associations were modified by demographic factors, such as maternal smoking and socioeconomic status. CONCLUSION Acute increases in ambient air pollution concentrations above certain levels before onset of labor may stimulate preterm birth. CITATION Li S, Guo Y, Williams G. 2016. Acute impact of hourly ambient air pollution on preterm birth. Environ Health Perspect 124:1623-1629; http://dx.doi.org/10.1289/EHP200.
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Affiliation(s)
- Shanshan Li
- Address correspondence to S. Li, School of Public Health, The University of Queensland, Herston Rd., Herston, Brisbane, QLD 4006, Australia. Telephone: 61 7 3346 4639. E-mail:
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Symanski E, McHugh MK, Zhang X, Craft ES, Lai D. Evaluating narrow windows of maternal exposure to ozone and preterm birth in a large urban area in Southeast Texas. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2016; 26:167-172. [PMID: 25944700 DOI: 10.1038/jes.2015.32] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Accepted: 03/05/2015] [Indexed: 06/04/2023]
Abstract
The association between O3 exposure and preterm birth (PTB) remains unclear. We evaluated associations for three categories of PTB and O3 in Harris County, Texas, during narrow periods of gestation. We computed two sets of exposure metrics during every 4 weeks of pregnancy for 152,214 mothers who delivered singleton, live-born infants in 2005-2007, accounting first for temporal variability and then for temporal and spatial sources of variability in ambient O3 levels. Associations were assessed using multiple logistic regression. We also examined the potential for a fixed cohort bias. In the bias-corrected cohort where associations were somewhat stronger, elevated odds ratios (ORs) per 10 parts per billion increase in O3 exposure (county-level metric) were detected for the fifth (OR=1.08, 95% confidence interval (CI): 1.04-1.12), sixth (OR=1.05, 95% CI=1.01-1.09), and seventh (OR=1.07, 95% CI=1.03-1.10) 4-week periods of pregnancy for late PTB (33-36 completed weeks gestation), the fifth (OR=1.13, 95% CI=1.02-1.25) and seventh (OR=1.15, 95% CI=1.04-1.27) 4-week periods of pregnancy for moderate PTB (29-32 completed weeks gestation), and the fifth (OR=1.21, 95% CI=1.08-1.36) 4-week period of pregnancy for severe PTB (20-28 completed weeks gestation). Conversely, decreased odds were found in the first 4-week period of pregnancy for severe PTB (OR=0.83, 95% CI=0.74-0.94). Associations were slightly attenuated using the spatially interpolated (kriged) metrics, and for women who did not work outside of the home. Our analyses confirm reports in other parts of the United States and elsewhere with findings that suggest that maternal exposure to ambient levels of O3 is associated with PTB.
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Affiliation(s)
- Elaine Symanski
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
| | - Michelle K McHugh
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
| | - Xuan Zhang
- Department of Biostatistics, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
| | - Elena S Craft
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
- Environmental Defense Fund, Austin, TX, USA
| | - Dejian Lai
- Department of Biostatistics, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX, USA
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Zheng T, Zhang J, Sommer K, Bassig BA, Zhang X, Braun J, Xu S, Boyle P, Zhang B, Shi K, Buka S, Liu S, Li Y, Qian Z, Dai M, Romano M, Zou A, Kelsey K. Effects of Environmental Exposures on Fetal and Childhood Growth Trajectories. Ann Glob Health 2016; 82:41-99. [PMID: 27325067 PMCID: PMC5967632 DOI: 10.1016/j.aogh.2016.01.008] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
Delayed fetal growth and adverse birth outcomes are some of the greatest public health threats to this generation of children worldwide because these conditions are major determinants of mortality, morbidity, and disability in infancy and childhood and are also associated with diseases in adult life. A number of studies have investigated the impacts of a range of environmental conditions during pregnancy (including air pollution, endocrine disruptors, persistent organic pollutants, heavy metals) on fetal and child development. The results, while provocative, have been largely inconsistent. This review summarizes up to date epidemiologic studies linking major environmental pollutants to fetal and child development and suggested future directions for further investigation.
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Affiliation(s)
- Tongzhang Zheng
- Department of Epidemiology, Brown School of Public Health, Providence, RI.
| | - Jie Zhang
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | | | - Bryan A Bassig
- National Cancer Institute, Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, Bethesda, MD
| | - Xichi Zhang
- George Washington University, Washington, DC
| | - Jospeh Braun
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | - Shuangqing Xu
- Tongji School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Peter Boyle
- International Prevention Research Institute, Lyon, France
| | - Bin Zhang
- Wuhan Medical & Health Center for Women and Children, Wuhan, Hubei, P.R. China
| | - Kunchong Shi
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | - Stephen Buka
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | - Siming Liu
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | - Yuanyuan Li
- Department of Epidemiology, Brown School of Public Health, Providence, RI; Tongji School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Zengmin Qian
- College for Public Health & Social Justice, Saint Louis University, St. Louis, MO
| | - Min Dai
- China National Cancer Center, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Megan Romano
- Department of Epidemiology, Brown School of Public Health, Providence, RI
| | - Aifen Zou
- Wuhan Medical & Health Center for Women and Children, Wuhan, Hubei, P.R. China
| | - Karl Kelsey
- Department of Epidemiology, Brown School of Public Health, Providence, RI
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Abstract
BACKGROUND For the past two decades, several studies have reported associations between elevated levels of ambient air pollution and adverse pregnancy outcomes, although with varying conclusions. OBJECTIVES To examine possible associations between the traffic pollution situation at the home address, for women who did not change address during pregnancy, and three types of pregnancy outcomes: spontaneous preterm delivery, children born small for gestational age (SGA) and pregnancy-induced hypertensive disorders. METHODS We used data for the Greater Stockholm Area from the Swedish Medical Birth Register to construct a cohort based on all pregnancies conceived between July 1997 and March 2006, n = 100 190. The pregnancy average nitrogen oxide, NOx, levels and annual mean daily vehicles at the home address were used as exposure variables. Mixed-model logistic regression was performed to assess any associations between exposure and outcome. RESULTS There was an association between elevated traffic pollution exposure during pregnancy and pregnancy-induced hypertensive disorders. A 10 µg/m(3) increase in the pregnancy average NOx level at the home address resulted in an OR of 1.17 (95% CI 1.10 to 1.26). The 2nd to 4th quartiles of NOx were all associated with an increased risk of SGA, but there was no difference in the risk estimate among the higher quartiles. There was a tendency of a higher risk of spontaneous preterm delivery in relation to higher levels of NOx. There was no evidence of an association between vehicle flow, the cruder indicator of traffic pollution, and the studied outcomes in this study. CONCLUSIONS In this large cohort, there was a fairly strong association between vehicle exhaust levels at the home address and pregnancy-induced hypertensive disorders, after adjustment for important risk factors.
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Affiliation(s)
- David Olsson
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Umeå, Sweden
| | - Ingrid Mogren
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | | | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Umeå, Sweden
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Di Ciaula A, Bilancia M. Relationships between mild PM10 and ozone urban air levels and spontaneous abortion: clues for primary prevention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2015; 25:640-55. [PMID: 25609560 DOI: 10.1080/09603123.2014.1003041] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The effects of environmental pollution on spontaneous abortion (SAB) are still unclear. Records of SAB were collected from five cities (514,996 residents) and correlated with PM10, NO(2) and ozone levels. Median pollutant concentrations were below legal limits. Monthly SABs positively correlated with PM10 and ozone levels but not with NO(2) levels. The mean monthly SAB rate increase was estimated equal to 19.7 and 33.6 % per 10 μg/m(3) increase in PM10 or ozone concentration, respectively. Higher values of PM10 and SABs were evident in cities with- than in those without pollutant industries, with a number of SABs twofolds higher in the former group. In conclusion, SAB occurrence is affected by PM10 (particularly if industrial areas are present) and ozone concentrations, also at levels below the legal limits. Thus, SAB might be considered, at least in part, a preventable condition.
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Affiliation(s)
- Agostino Di Ciaula
- a Division of Internal Medicine, Hospital of Bisceglie (ASL BAT), International Society of Doctors for Environment (ISDE) , Italy
| | - Massimo Bilancia
- b Ionic Department in Legal and Economic System of Mediterranean: Society, Environment, Culture , University of Bari Aldo Moro , Bari , Italy
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Edwards S, Maxson P, Sandberg N, Miranda ML. Air Pollution and Pregnancy Outcomes. MOLECULAR AND INTEGRATIVE TOXICOLOGY 2015. [DOI: 10.1007/978-1-4471-6669-6_3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
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Bashore CJ, Geer LA, He X, Puett R, Parsons PJ, Palmer CD, Steuerwald AJ, Abulafia O, Dalloul M, Sapkota A. Maternal mercury exposure, season of conception and adverse birth outcomes in an urban immigrant community in Brooklyn, New York, U.S.A. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2014; 11:8414-42. [PMID: 25153469 PMCID: PMC4143869 DOI: 10.3390/ijerph110808414] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Revised: 07/23/2014] [Accepted: 08/04/2014] [Indexed: 02/01/2023]
Abstract
Adverse birth outcomes including preterm birth (PTB: <37 weeks gestation) and low birth weight (LBW: <2500 g) can result in severe infant morbidity and mortality. In the United States, there are racial and ethnic differences in the prevalence of PTB and LBW. We investigated the association between PTB and LBW with prenatal mercury (Hg) exposure and season of conception in an urban immigrant community in Brooklyn, New York. We recruited 191 pregnant women aged 18-45 in a Brooklyn Prenatal Clinic and followed them until delivery. Urine specimens were collected from the participants during the 6th to 9th month of pregnancy. Cord blood specimens and neonate anthropometric data were collected at birth. We used multivariate logistic regression models to investigate the odds of LBW or PTB with either maternal urinary mercury or neonate cord blood mercury. We used linear regression models to investigate the association between continuous anthropometric outcomes and maternal urinary mercury or neonate cord blood mercury. We also examined the association between LBW and PTB and the season that pregnancy began. Results showed higher rates of PTB and LBW in this cohort of women compared to other studies. Pregnancies beginning in winter (December, January, February) were at increased odds of LBW births compared with births from pregnancies that began in all other months (OR7.52 [95% CI 1.65, 34.29]). We observed no association between maternal exposure to Hg, and either LBW or PTB. The apparent lack of association is consistent with other studies. Further examination of seasonal association with LBW is warranted.
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Affiliation(s)
- Cynthia J Bashore
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, Room 2234F, College Park, MD 20742-2611, USA.
| | - Laura A Geer
- Department of Environmental and Occupational Health Sciences, Downstate School of Public Health, State University of New York, Box 43,450 Clarkson Ave., Brooklyn, NY 11203-2533, USA.
| | - Xin He
- Department of Epidemiology and Biostatistics, University of Maryland College Park School of Public Health, 2234H SPH Building, College Park, MD 20742-2611, USA.
| | - Robin Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, Room 2234F, College Park, MD 20742-2611, USA.
| | - Patrick J Parsons
- Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, Department of Health, New York State University, Albany, NY 12201-0509, USA.
| | - Christopher D Palmer
- Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, Department of Health, New York State University, Albany, NY 12201-0509, USA.
| | - Amy J Steuerwald
- Laboratory of Inorganic and Nuclear Chemistry, Wadsworth Center, Department of Health, New York State University, Albany, NY 12201-0509, USA.
| | - Ovadia Abulafia
- Department of Obstetrics and Gynecology, State University of New York Downstate Medical Center, 445 Lenox Road, Brooklyn, NY 11203, USA.
| | - Mudar Dalloul
- Department of Obstetrics and Gynecology, State University of New York Downstate Medical Center, 445 Lenox Road, Brooklyn, NY 11203, USA.
| | - Amir Sapkota
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, Room 2234F, College Park, MD 20742-2611, USA.
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Hannam K, McNamee R, De Vocht F, Baker P, Sibley C, Agius R. A comparison of population air pollution exposure estimation techniques with personal exposure estimates in a pregnant cohort. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2013; 15:1562-1572. [PMID: 23800727 DOI: 10.1039/c3em00112a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
There is increasing evidence of the harmful effects for mother and fetus of maternal exposure to air pollutants. Most studies use large retrospective birth outcome datasets and make a best estimate of personal exposure (PE) during pregnancy periods. We compared estimates of personal NOx and NO2 exposure of pregnant women in the North West of England with exposure estimates derived using different modelling techniques. A cohort of 85 pregnant women was recruited from Manchester and Blackpool. Participants completed a time-activity log and questionnaire at 13-22 weeks gestation and were provided with personal Ogawa samplers to measure their NOx/NO2 exposure. PE was compared to monthly averages, the nearest stationary monitor to the participants' home, weighted average of the closest monitor to home and work location, proximity to major roads, as well as to background modelled concentrations (DEFRA), inverse distance weighting (IDW), ordinary kriging (OK), and a land use regression model with and without temporal adjustment. PE was most strongly correlated with monthly adjusted DEFRA (NO2r = 0.61, NOxr = 0.60), OK and IDW (NO2r = 0.60; NOxr = 0.62) concentrations. Correlations were stronger in Blackpool than in Manchester. Where there is evidence for high temporal variability in exposure, methods of exposure estimation which focus solely on spatial methods should be adjusted temporally, with an improvement in estimation expected to be better with increased temporal variability.
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Affiliation(s)
- Kimberly Hannam
- Maternal and Fetal Health Research Centre, Institute of Human Development, Medical and Human Sciences, Manchester Academic Health Sciences Centre, University of Manchester and Central Manchester University Hospitals NHS Foundation Trust, Oxford Road, Manchester, M13 9PL, UK.
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26
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Ross Z, Ito K, Johnson S, Yee M, Pezeshki G, Clougherty JE, Savitz D, Matte T. Spatial and temporal estimation of air pollutants in New York City: exposure assignment for use in a birth outcomes study. Environ Health 2013; 12:51. [PMID: 23802774 PMCID: PMC3704849 DOI: 10.1186/1476-069x-12-51] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 06/19/2013] [Indexed: 05/20/2023]
Abstract
BACKGROUND Recent epidemiological studies have examined the associations between air pollution and birth outcomes. Regulatory air quality monitors often used in these studies, however, were spatially sparse and unable to capture relevant within-city variation in exposure during pregnancy. METHODS This study developed two-week average exposure estimates for fine particles (PM2.5) and nitrogen dioxide (NO2) during pregnancy for 274,996 New York City births in 2008-2010. The two-week average exposures were constructed by first developing land use regression (LUR) models of spatial variation in annual average PM2.5 and NO2 data from 150 locations in the New York City Community Air Survey and emissions source data near monitors. The annual average concentrations from the spatial models were adjusted to account for city-wide temporal trends using time series derived from regulatory monitors. Models were developed using Year 1 data and validated using Year 2 data. Two-week average exposures were then estimated for three buffers of maternal address and were averaged into the last six weeks, the trimesters, and the entire period of gestation. We characterized temporal variation of exposure estimates, correlation between PM2.5 and NO2, and correlation of exposures across trimesters. RESULTS The LUR models of average annual concentrations explained a substantial amount of the spatial variation (R2 = 0.79 for PM2.5 and 0.80 for NO2). In the validation, predictions of Year 2 two-week average concentrations showed strong agreement with measured concentrations (R2 = 0.83 for PM2.5 and 0.79 for NO2). PM2.5 exhibited greater temporal variation than NO2. The relative contribution of temporal vs. spatial variation in the estimated exposures varied by time window. The differing seasonal cycle of these pollutants (bi-annual for PM2.5 and annual for NO2) resulted in different patterns of correlations in the estimated exposures across trimesters. The three levels of spatial buffer did not make a substantive difference in estimated exposures. CONCLUSIONS The combination of spatially resolved monitoring data, LUR models and temporal adjustment using regulatory monitoring data yielded exposure estimates for PM2.5 and NO2 that performed well in validation tests. The interaction between seasonality of air pollution and exposure intervals during pregnancy needs to be considered in future studies.
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Affiliation(s)
- Zev Ross
- ZevRoss Spatial Analysis, 120 N. Aurora St Suite 3A, Ithaca, NY, 14850, USA
| | - Kazuhiko Ito
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Sarah Johnson
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Michelle Yee
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Grant Pezeshki
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Jane E Clougherty
- Graduate School of Public Health, Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Savitz
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Thomas Matte
- New York City Department of Health and Mental Hygiene, New York, NY, USA
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Olsson D, Mogren I, Forsberg B. Air pollution exposure in early pregnancy and adverse pregnancy outcomes: a register-based cohort study. BMJ Open 2013; 3:bmjopen-2012-001955. [PMID: 23386578 PMCID: PMC3585966 DOI: 10.1136/bmjopen-2012-001955] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Our aim was to study the possible associations between exposure to elevated levels of air pollution, ozone (O(3)) and vehicle exhaust (NO(x)), during early gestation, and adverse pregnancy outcomes such as pre-eclampsia, preterm birth and small for gestational age. DESIGN Prospective register-based cohort study. SETTING The Swedish Medical Birth Register includes data on all deliveries during 1998 to 2006 in Greater Stockholm, Sweden. The national Patient Register and the Prescribed Drug Register were used to collect information on maternal asthma. PARTICIPANTS All singleton pregnancies, conceived at the earliest in August 1997 and at the latest in February 2006, were included, n=120 755. OUTCOME MEASURES We studied preterm birth, small for gestational age and pre-eclampsia. RESULTS 4.4% of pregnancies resulted in a preterm birth. The prevalence of pre-eclampsia was 2.7%. We observed an association between first trimester O(3) and preterm birth (OR 1.04, 95% CI 1.01 to 1.08) as well as an association with pre-eclampsia (OR 1.04, 95% CI 1.01 to 1.08), per 10 µg/m(3) increase in O(3). We observed no association between first trimester NO(x) and adverse pregnancy outcomes. No associations were observed between any of the air pollutants and small for gestational age. CONCLUSIONS Increased levels of O(3) during the first trimester increased the risk of pre-eclampsia and preterm birth. Air pollutants did not exhibit any effects on fetal growth restriction. We estimated 1 in every 20 cases of pre-eclampsia to be associated with O(3) exposure.
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Affiliation(s)
- David Olsson
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Umeå, Sweden
| | - Ingrid Mogren
- Department of Clinical Science, Obstetrics and Gynaecology, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Occupational and Environmental Medicine, Umeå University, Umeå, Sweden
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Luo YJ, Wen XZ, Ding P, He YH, Xie CB, Liu T, Lin JM, Yuan SX, Guo XL, Jia DQ, Chen LH, Huang BZ, Chen WQ. Interaction between maternal passive smoking during pregnancy and CYP1A1 and GSTs polymorphisms on spontaneous preterm delivery. PLoS One 2012; 7:e49155. [PMID: 23152866 PMCID: PMC3496734 DOI: 10.1371/journal.pone.0049155] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2012] [Accepted: 10/04/2012] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE The present study aimed to examine the association between maternal passive smoking during pregnancy and the risk of spontaneous PTD and to explore the potential interaction of the single or joint gene polymorphism of CYP1A1 and GSTs with maternal passive smoking on the risk of spontaneous PTD. METHOD We investigated whether the association between maternal passive smoking and PTD can be modified by 2 metabolic genes, i.e. cytochrome P4501A1 (CYP1A1) and glutathione S-transferases (GSTs), in a case-control study with 198 spontaneous preterm and 524 term deliveries in Shenzhen and Foshan, China. We used logistic regression to test gene-passive smoking interaction, adjusting for maternal socio-demographics and prepregnancy body mass index. RESULTS Overall, maternal passive smoking during pregnancy was associated with higher risk of PTD (adjusted odds ratio = 2.20 [95% confidence interval: 1.56-3.12]). This association was modified by CYP1A1 and GSTs together, but not by any single genotype. For cross-categories of CYP1A1 Msp I and GSTs, maternal passive smoking was associated with higher risk of PTD among those women with CYP1A1 "TC/CC"+ GSTs "null", but not among women with other genotypes; and this interaction was significant (OR = 2.66 [95% CI: 1.19-5.97]; P-value: 0.017). For cross-categories of CYP1A1 BsrD I and GSTs, maternal passive smoking was associated with higher risk of PTD only among those women with CYP1A1"AG/GG"+ GSTs "null", but not among women with other genotypes; and this interaction was significant (OR = 3.00 [95% CI: 1.17-7.74]; P-value: 0.023). CONCLUSIONS Our findings suggest that the combined genotypes of CYP1A1 and GSTs can help to identify vulnerable pregnant women who are subject to high risk of spontaneous PTD due to passive smoking.
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Affiliation(s)
- Yi-Juan Luo
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiao-Zhong Wen
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States of America
| | - Peng Ding
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yan-Hui He
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Chuan-Bo Xie
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tao Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jian-miao Lin
- Shenzhen Women and Children’s Hospital, Shenzhen, Guangdong, China
| | - Shi-Xin Yuan
- Shenzhen Women and Children’s Hospital, Shenzhen, Guangdong, China
| | - Xiao-Ling Guo
- Foshan Women and Children’s Hospital, Foshan, Guangdong, China
| | - De-Qin Jia
- Foshan Women and Children’s Hospital, Foshan, Guangdong, China
| | - Li-Hua Chen
- Shenzhen Women and Children’s Hospital, Shenzhen, Guangdong, China
| | - Bao-Zhen Huang
- Shenzhen Women and Children’s Hospital, Shenzhen, Guangdong, China
| | - Wei-Qing Chen
- Department of Biostatistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
- * E-mail:
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