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Requia WJ, Papatheodorou S. Maternal exposure to ambient temperature and birth defects in Brazil: a nationwide case-control study of over 11 million newborns. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024:10.1007/s00484-024-02746-x. [PMID: 39105774 DOI: 10.1007/s00484-024-02746-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/21/2024] [Accepted: 07/22/2024] [Indexed: 08/07/2024]
Abstract
Maternal exposure to extreme ambient temperature during pregnancy has been proposed as a potential risk factor for birth defects. Comprehensive investigations on this association remain limited, particularly in low- and middle-income countries. This study aims to examine the association between ambient temperature exposure during pregnancy and the risk of birth defects in Brazil, contributing to the broader understanding of environmental influences on birth outcomes. Using a large dataset of over 11 million live birth records, we analyzed 12 categories of birth defects, encompassing a time frame from 2001 to 2018. Ambient temperature data were assigned at the municipality level. For the exposure assessment, we considered two biologically driven pregnancy stages by dividing the gestational period into two specific windows: the first trimester (from week 1 to week 12) and the second trimester (from week 13 to week 28). We employed a two-stage case-control design. In the first stage, we applied a conditional logistic regression model to estimate the odds ratio (OR) for specific birth defects and each of the five Brazilian regions (North, Northeast, Midwest, Southeast, and South). The model was adjusted for potential confounding variables, including PM2.5, relative humidity, and socioeconomic status. Temporal trends were addressed using time-stratified sampling. In the second stage, we used mixed-effects meta-analysis to pool region-specific estimates. Our analysis revealed a significant association between maternal exposure to higher ambient temperatures during the first trimester and an increased risk of specific birth defect categories, including those affecting the genital organs (OR = 1.08, 95% CI: 1.02; 1.14), digestive system (OR = 1.12, 95% CI: 1.06; 1.19); circulatory system (OR = 1.08, 95% CI: 1.01; 1.17); eyes, ears, face, and neck (OR = 1.08, 95% CI: 1.02; 1.15); benign neoplasms tumors (OR = 1.17, 95% CI: 1.03; 1.32), musculoskeletal system (OR = 1.03, 95% CI: 1.01; 1.05); and other congenital anomalies (OR = 1.22, 95% CI: 1.15; 1.29). The associations with respiratory system, nervous system, and chromosomal anomalies were null. These findings have significant implications for public health policies aimed at mitigating the impact of environmental factors on birth outcomes, both in Brazil and globally.
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Affiliation(s)
- Weeberb J Requia
- Center for Environment and Public Health Studies, School of Public Policy and Government, Fundação Getúlio Vargas , Brasília, Distrito Federal, Brasília, Brazil.
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard TH Chan School of Public Health Boston, Boston, MA, USA
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Ju L, Hua L, Xu H, Li C, Sun S, Zhang Q, Cao J, Ding R. Maternal atmospheric particulate matter exposure and risk of adverse pregnancy outcomes: A meta-analysis of cohort studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120704. [PMID: 36436666 DOI: 10.1016/j.envpol.2022.120704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 11/04/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Ambient air particulate exposure not only capable of elevating the risks of adverse pregnancy outcomes, but also has profound implications for human health, but the results are discrepant. This meta-analysis aimed to provide higher grade evidence on the impacts of air particulate on specific pregnancy outcomes. A total of 81 eligible cohort studies were included in this meta-analysis, of which the outcomes included preterm birth (PTB), moderate PTB, very PTB, extreme PTB, term low birth weight (TLBW), term birth weight (TBW), stillbirth (SB) and small for gestational age (SGA). The results showed that every 10 μg/m3 increase of PM2.5 exposure associated with 2.7%-9.3% increase of PTB risk in entire pregnancy, 2nd and 3rd trimesters; 10.5%-19.3% increase of very PTB risk in entire pregnancy, 1st and 2nd trimesters; 8.3% and 10.1% increase of TLBW and SGA risk in entire pregnancy; 25.6% and 10.1% increase of SB in entire pregnancy and 3rd trimester; and -13.274 g and -4.916 g reduce of TBW during entire pregnancy and 2nd trimester, respectively. Every 10 μg/m3 increase of PM10 exposure associated with 12.1% and 2.6% increase of PTB risk in entire pregnancy and 3rd trimester; 48.9% and 5.0% increase of moderate PTB risk in entire pregnancy and 2nd trimester; 14.4% and 10.3% increase of very PTB risk in 1st and 3rd trimesters; 2.9% increase of extremely PTB risk in 2nd trimester; 1.5%-3.8% and 2.9%-3.7% increase of TLBW and SGA risk in entire pregnancy, 1st and 2nd trimesters; 7.0% increase of SB risk in 3rd trimesters; and -4.537 g and -5.263 g reduce of TBW in 1st and 2nd trimesters, respectively. High mean annual PM concentrations were associated with more extreme adverse pregnancy outcomes (PTBs, SGA and SB), while low mean annual PM concentrations were associated with decreased TBW and increased risk of TLBW.
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Affiliation(s)
- Liangliang Ju
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Lei Hua
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Hanbing Xu
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Changlian Li
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Shu Sun
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Qi Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Jiyu Cao
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China; Department of Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Rui Ding
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
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Ravindra K, Singh T, Mor S. Preventable mortality attributable to exposure to air pollution at the rural district of Punjab, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:32271-32278. [PMID: 35380324 DOI: 10.1007/s11356-022-19668-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
Air pollution has emerged as a leading global health risk in recent decades, where its health impacts are primarily focused on urban areas. In India, semi-urban and rural areas are also emerging as air pollution hotspots. As these regions are out of focus, the current study monitored air pollution (PM2.5) at a rural district of Punjab in North India and attempted to study the associated health impacts. Hospital data of outpatient department (OPD), inpatient department (IPD) and all-cause mortality was correlated with change in PM2.5 concentrations. PM2.5 concentrations showed seasonal variations having relatively higher concentrations during post-monsoon and winter seasons. This rise in air pollution (annual average 92 µg/m3) was found to be mainly due to crop residue burning, including local meteorology. In comparison, hospital data shows that hospital visits and admissions were higher during monsoon. This shows that hospital admissions could not be directly linked to air pollution in rural areas as other factors such as short days during winters and self-medication, socio-economic factors and dependency on local unauthorised traditional healers may influence. The application of the AirQ + model for short-term health effects reveals that out of 2582 total deaths, preventable deaths ranging from 246 (WHO guidelines value - 10 µg/m3) to 159 (Indian NAAQS - 40 µg/m3) could be ascribed to air pollution exposure and specifically PM2.5. However, these deaths are avoidable by developing strategies to minimise air pollution in rural areas. Hence, a comprehensive approach is needed to plan air pollution reduction strategies, including urban, semi-urban and rural areas.
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Affiliation(s)
- Khaiwal Ravindra
- Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India, 160012.
| | - Tanbir Singh
- Department of Environment Studies, Panjab University, Chandigarh, India, 160014
| | - Suman Mor
- Department of Environment Studies, Panjab University, Chandigarh, India, 160014
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Gong C, Wang J, Bai Z, Rich DQ, Zhang Y. Maternal exposure to ambient PM 2.5 and term birth weight: A systematic review and meta-analysis of effect estimates. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:150744. [PMID: 34619220 DOI: 10.1016/j.scitotenv.2021.150744] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/18/2021] [Accepted: 09/28/2021] [Indexed: 06/13/2023]
Abstract
Effect estimates of prenatal exposure to ambient PM2.5 on change in grams (β) of birth weight among term births (≥37 weeks of gestation; term birth weight, TBW) vary widely across studies. We present the first systematic review and meta-analysis of evidence regarding these associations. Sixty-two studies met the eligibility criteria for this review, and 31 studies were included in the meta-analysis. Random-effects meta-analysis was used to assess the quantitative relationships. Subgroup analyses were performed to gain insight into heterogeneity derived from exposure assessment methods (grouped by land use regression [LUR]-models, aerosol optical depth [AOD]-based models, interpolation/dispersion/Bayesian models, and data from monitoring stations), study regions, and concentrations of PM2.5 exposure. The overall pooled estimate involving 23,925,941 newborns showed that TBW was negatively associated with PM2.5 exposure (per 10 μg/m3 increment) during the entire pregnancy (β = -16.54 g), but with high heterogeneity (I2 = 95.6%). The effect estimate in the LUR-models subgroup (β = -16.77 g) was the closest to the overall estimate and with less heterogeneity (I2 = 18.3%) than in the other subgroups of AOD-based models (β = -41.58 g; I2 = 95.6%), interpolation/dispersion models (β = -10.78 g; I2 = 86.6%), and data from monitoring stations (β = -11.53 g; I2 = 97.3%). Even PM2.5 exposure levels of lower than 10 μg/m3 (the WHO air quality guideline value) had adverse effects on TBW. The LUR-models subgroup was the only subgroup that obtained similar significant of negative associations during the three trimesters as the overall trimester-specific analyses. In conclusion, TBW was negatively associated with maternal PM2.5 exposures during the entire pregnancy and each trimester. More studies based on relatively standardized exposure assessment methods need to be conducted to further understand the precise susceptible exposure time windows and potential mechanisms.
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Affiliation(s)
- Chen Gong
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jianmei Wang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Yujuan Zhang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
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Requia WJ, Papatheodorou S, Koutrakis P, Mukherjee R, Roig HL. Increased preterm birth following maternal wildfire smoke exposure in Brazil. Int J Hyg Environ Health 2021; 240:113901. [PMID: 34891058 DOI: 10.1016/j.ijheh.2021.113901] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 10/19/2022]
Abstract
Preterm birth (PTB) complications are the leading cause of death among children under 5 years of age, responsible for approximately 1 million deaths in 2015, according to the World Health Organization. Those infants born prematurely who survived the first 5 years, studies suggest that these infants are more likely to experience a range of poor health outcomes during childhood and even adulthood. Wildfire smoke has been suggested as a type of air pollution source with high toxicity for reproductive health. In this study, we estimated the association between preterm birth and wildfire periods in Brazil, a country included in the list of the 10 nations with the greatest number of preterm birth and also considered as a very fire-prone region. We applied a time-stratified case-crossover study design using conditional logistic regression models to estimate the odds ratio for preterm birth associated with wildfire-related prenatal PM2.5, during different windows of exposure, including trimesters 1-3. After adjusting for several confounders (other air pollutants, demographics, meteorological variables, and spatiotemporal terms), we found that wildfire smoke exposure during pregnancy may be associated with preterm birth in Brazil. Southeast was the region with the highest increase in the odds of PTB (OR:1.41 (95%CI: 1.31-1.51) when the exposure occurred in the first trimester. In the North, exposure to PM2.5 during wildfire periods in the second trimester of pregnancy was associated with increased odds of PTB (OR:1.05 (95%CI: 1.01-1.09) in preterm birth when the exposure occurred in the second trimester. This study suggests that wildfire smoke exposure during pregnancy may increase the risk for preterm birth in Brazil. This should be of great concern to the public health authorities, obstetricians, and policymakers.
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Affiliation(s)
- Weeberb J Requia
- School of Public Policy and Government, Fundação Getúlio Vargas Brasília, Distrito Federal, Brazil.
| | - Stefania Papatheodorou
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States
| | - Petros Koutrakis
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States
| | - Rajarshi Mukherjee
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States
| | - Henrique L Roig
- Geoscience Institute, University of Brasilia, Brasília, Distrito Federal, Brazil
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Yitshak-Sade M, Kloog I, Schwartz JD, Novack V, Erez O, Just AC. The effect of prenatal temperature and PM 2.5 exposure on birthweight: Weekly windows of exposure throughout the pregnancy. ENVIRONMENT INTERNATIONAL 2021; 155:106588. [PMID: 33940393 PMCID: PMC8292186 DOI: 10.1016/j.envint.2021.106588] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/22/2021] [Accepted: 04/15/2021] [Indexed: 05/13/2023]
Abstract
BACKGROUND Birthweight is a strong predictor of normal growth, healthy development, and survival. Several studies have found associations between temperature, fine particulate matter (PM2.5), and birth weight. However, the relevant timing of exposures varies between studies and is yet unclear. Therefore, we assessed the difference in term birthweight (TBW) associated with weekly exposure to temperature and PM2.5 throughout 37 weeks of gestation. METHODS We included all singleton live term births in Massachusetts, U.S between 2004 and 2015 (n = 712,438). Weekly PM2.5 and temperature predictions were estimated on a 1 km grid from satellite-based models. We utilized a distributed lag nonlinear model (DLNM) to estimate the difference in TBW associated with weekly exposures from the last menstrual period to 37 weeks of gestation. RESULTS We found a nonlinear association with prenatal temperature exposure. Larger effects were observed in warmer temperatures, where higher temperatures were negatively associated with TBW. Temperature effects were larger in the first and final weeks of gestation. We observed a negative difference in TBW associated with PM2.5 exposure. Overall, a 1 µg/m3 increase in prenatal exposure was associated with 3.9 g lower TBW (95% CI -5.0 g; -2.9 g). PM2.5 effects were larger in the final weeks of gestation. CONCLUSION We found heat and PM2.5 exposure to be related to lower TBW. Our findings suggest that women are more susceptible to both exposures towards the end of pregnancy. Susceptibility to heat was higher in the initial weeks of pregnancy as well. These critical windows of susceptibility can be communicated to pregnant women during routine prenatal visits to increase awareness and target interventions to reduce exposures.
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Affiliation(s)
- Maayan Yitshak-Sade
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA.
| | - Itai Kloog
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA; Department of Geography and Environmental Development, Faculty of Humanities and Social Sciences, Ben-Gurion University, Beer-Sheva, Israel
| | - Joel D Schwartz
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Victor Novack
- Negev Environmental Health Research Institute, Beer Sheva, Israel; Department of Medicine, Faculty of Health Sciences, Ben-Gurion University, Beer-Sheva, Israel; Soroka University Medical Center, Beer Sheva, Israel
| | - Offer Erez
- Soroka University Medical Center, Beer Sheva, Israel
| | - Allan C Just
- Icahn School of Medicine at Mount Sinai, Department of Environmental Medicine and Public Health, New York, NY, USA
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Mueller W, Tantrakarnapa K, Johnston HJ, Loh M, Steinle S, Vardoulakis S, Cherrie JW. Exposure to ambient particulate matter and biomass burning during pregnancy: associations with birth weight in Thailand. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2021; 31:672-682. [PMID: 33603098 PMCID: PMC8263346 DOI: 10.1038/s41370-021-00295-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 12/12/2020] [Accepted: 01/18/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND There is a growing evidence that exposure to ambient particulate air pollution during pregnancy is associated with adverse birth outcomes, including reduced birth weight (BW). The objective of this study was to quantify associations between BW and exposure to particulate matter (PM) and biomass burning during pregnancy in Thailand. METHODS We collected hourly ambient air pollutant data from ground-based monitors (PM with diameter of <10 µm [PM10], Ozone [O3], and nitrogen dioxide [NO2]), biomass burning from satellite remote sensing data, and individual birth weight data during 2015-2018. We performed a semi-ecological analysis to evaluate the association between mean trimester exposure to air pollutants and biomass burning with BW and low-birth weight (LBW) (<2500 g), adjusting for gestation age, sex, previous pregnancies, mother's age, heat index, season, year, gaseous pollutant concentrations, and province. We examined potential effect modification of PM10 and biomass burning exposures by sex. RESULTS There were 83,931 eligible births with a mean pregnancy PM10 exposure of 39.7 µg/m3 (standard deviation [SD] = 7.7). The entire pregnancy exposure was associated with reduced BW both for PM10 (-6.81 g per 10 µg/m3 increase in PM10 [95% CI = -12.52 to -1.10]) and biomass burning (-6.34 g per 1 SD increase in fires/km2 [95% CI = -11.35 to -1.34]) only after adjustment for NO2. In contrast with these findings, a reduced odds ratio (OR) of LBW was associated with PM10 exposure only in trimesters one and two, with no relationship across the entire pregnancy period. Associations with biomass burning were limited to increased ORs of LBW with exposure in trimester three, but only for male births. CONCLUSION Based on our results, we encourage further investigation of air pollution, biomass burning and BW in Thailand and other low-income and middle-income countries.
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Affiliation(s)
| | - Kraichat Tantrakarnapa
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Helinor Jane Johnston
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK
| | - Miranda Loh
- Institute of Occupational Medicine, Edinburgh, UK
| | | | - Sotiris Vardoulakis
- Institute of Occupational Medicine, Edinburgh, UK
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - John W Cherrie
- Institute of Occupational Medicine, Edinburgh, UK.
- School of Engineering and Physical Sciences, Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh, UK.
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Deguen S, Kihal-Talantikite W, Gilles M, Danzon A, Carayol M, Zmirou-Navier D. Are the effects of air pollution on birth weight modified by infant sex and neighborhood socioeconomic deprivation? A multilevel analysis in Paris (France). PLoS One 2021; 16:e0247699. [PMID: 33857144 PMCID: PMC8049242 DOI: 10.1371/journal.pone.0247699] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 02/11/2021] [Indexed: 11/18/2022] Open
Abstract
Adverse birth outcomes related to air pollution are well documented; however, few studies have accounted for infant sex. There is also scientific evidence that the neighborhood socioeconomic profile may modify this association even after adjusting for individual socioeconomic characteristics. The objective is to analyze the association between air pollution and birth weight by infant sex and neighborhood socioeconomic index. All birth weights (2008-2011) were geocoded at census block level. Each census block was assigned a socioeconomic deprivation level, as well as daily NO2 and PM10 concentrations. We performed a multilevel model with a multiple statistical test and sensible analysis using the spline function. Our findings suggest the existence of a differential association between air pollution and BW according to both neighborhood socioeconomic level and infant sex. However, due to multiple statistical tests and controlling the false discovery rate (FDR), all significant associations became either not statistically significant or borderline. Our findings reinforce the need for additional studies to investigate the role of the neighborhood socioeconomic which could differentially modify the air pollution effect.
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Affiliation(s)
- Séverine Deguen
- School of Public Health (EHESP), DSET&GS, Rennes CEDEX, France
- Department of Social Epidemiology, Institut Pierre Louis d’Epidémiologie et de Santé Publique (UMRS 1136), Sorbonne Universités, UPMC Univ Paris 06, INSERM, Paris, France
- * E-mail:
| | - Wahida Kihal-Talantikite
- Laboratoire Image Ville Environnement, LIVE UMR 7362 CNRS, University of Strasbourg, Strasbourg, France
| | - Morgane Gilles
- School of Public Health (EHESP), DSET&GS, Rennes CEDEX, France
| | - Arlette Danzon
- Service de Protection Maternelle et Infantile, Direction des Familles et de la Petite Enfance, Mairie de Paris, Paris, France
| | - Marion Carayol
- Service de Protection Maternelle et Infantile, Direction des Familles et de la Petite Enfance, Mairie de Paris, Paris, France
| | - Denis Zmirou-Navier
- School of Public Health (EHESP), DSET&GS, Rennes CEDEX, France
- School of Medicine, Lorraine University, Nancy, France
- Inserm, Irset (Institut de recherche en santé, environnement et travail), UMR-S 1085, Rennes, France
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Zou Z, Liu W, Huang C, Cai J, Fu Q, Sun C, Zhang J. Gestational exposures to outdoor air pollutants in relation to low birth weight: A retrospective observational study. ENVIRONMENTAL RESEARCH 2021; 193:110354. [PMID: 33098816 DOI: 10.1016/j.envres.2020.110354] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 10/08/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
Findings for impacts of outdoor air pollutants on birth outcomes were controversial. We performed a retrospective observational study in 2527 preschoolers of Shanghai, China and investigated associations of duration-averaged concentrations of outdoor sulphur dioxide (SO2), nitrogen dioxide (NO2), and particulate matter with an aerodynamic diameter ≤ 10 μm (PM10) in different months and trimesters of gestation, with preterm birth (PB), low birth weight (LBW), term low birth weight (T-LBW), and small for gestational age (SGA). Daily concentrations of outdoor air pollutants were collected in each residence-located district. Parents reported health information. In the multivariate logistic regression analyses, exposures to outdoor NO2 were consistently associated with the higher odds of LBW and T-LBW. These associations were generally stronger for early months than for later months of the gestation. Adjusted odds ratios generally were larger in multi-pollutant model than in single-pollutant model. Exposure to NO2 in the first month of the gestation was significantly associated with T-LBW (adjusted OR, 95%CI: 1.91, 1.02-3.58 for increment of interquartile range (18.5 μg/m3); p-value = 0.044) in multi-pollutant model. This association was stronger in girls, renters, and children whose mothers ≥30 years-old, with household dampness-related exposures, and with parental smoking during pregnancy. Our results indicate that exposure to NO2 during gestation perhaps is a risk factor for LBW and T-LBW, and effects of NO2 exposures could be greater during early periods than during later periods of gestation.
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Affiliation(s)
- Zhijun Zou
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Wei Liu
- Institute for Health and Environment, Chongqing University of Science and Technology, Chongqing, China.
| | - Chen Huang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jiao Cai
- Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing, China
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai, China
| | - Chanjuan Sun
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Jialing Zhang
- Department of Building Environment and Energy Engineering, School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
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Interaction of Air Pollutants and Meteorological Factors on Birth Weight in Shenzhen, China. Epidemiology 2020; 30 Suppl 1:S57-S66. [PMID: 31181007 DOI: 10.1097/ede.0000000000000999] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND This study aimed to assess if air pollutants and meteorological factors synergistically affect birth outcomes in Shenzhen, China. METHODS A total of 1,206,158 singleton live births between 2005 and 2012 were identified from a birth registry database. Daily average measurements of particulate matter ≤10 µm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ambient air temperature (T), and dew point temperature (Td), a marker of humidity, were collected. Multivariable logistic regression models were used to evaluate associations between air pollution and small for gestational age (SGA), and full-term low birth weight (TLBW). We classified births into those conceived in the warm (May-October) and cold seasons (November-April) and then estimated interactions between air pollutants and meteorological factors. RESULTS An interquartile range (IQR) increase in PM10 exposure during the first trimester (23.1 µg/m) and NO2 during both the first and second trimesters (15.1 and 13.4 µg/m) was associated with SGA and TLBW risk; odds ratios ranged from 1.01 (95% confidence interval [CI] = 1.00, 1.02) to 1.09 (1.07, 1.12). We observed interactive effects of both air temperature and humidity on PM10 and SGA for newborns conceived in the warm season. Each IQR increase in PM10 (11.1 µg/m) increased SGA risk by 90% (95% CI = 19%, 205%), 29% (23, 34%), 61% (10, 38%), and 26% (21, 32%) when T < 5th percentile, 5th < T < 95th percentile, Td < 5th percentile, and 5th < Td < 95th percentile, respectively. CONCLUSIONS Our study found evidence of an interactive effect of air temperature and humidity on the relationship between PM10 exposure and SGA among newborns conceived in the warm season (May-October). Relatively low air temperature or humidity exacerbated the effects of PM10.
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Kirwa K, McConnell-Rios R, Manjourides J, Cordero J, Alshawabekeh A, Suh HH. Low birth weight and PM 2.5 in Puerto Rico. Environ Epidemiol 2019; 3:e058. [PMID: 32095739 PMCID: PMC7039618 DOI: 10.1097/ee9.0000000000000058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 06/19/2019] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Low birth weight (LBW) has been associated with adverse health outcomes across the lifespan. Among ethnic/racial minority populations, few studies have examined the association between LBW (<2,500 or ≥2,500 g) and prenatal exposure to air pollution, a key modifiable environmental risk factor. METHODS We examined the association between LBW and prenatal exposure to PM2.5 in a Hispanic and black population in Puerto Rico between 1999 and 2013, adjusting for individual and municipality-level confounders. We used modified Poisson regression to estimate the association and performed sensitivity analyses treating birth weight as continuous or polychotomous. In secondary analyses, we applied a 2-stage mixed effects model suitable for longitudinally measured exposures and binary outcomes. RESULTS Among 332,129 total and 275,814 term births, 12.2% and 6.3% of infants had LBW, respectively. Eighty-eight percent of mothers were Hispanic. Mean (SD) PM2.5 concentrations declined from 9.9 (1.7) μg/m3 in 1999 to 6.1 (1.1) μg/m3 in 2013. Mean birth weights dropped to 3,044 g in 2010 and rose steadily afterward. Among term births, a SD increase in PM2.5 was associated with a 3.2% (95% CI = -1.0%, 6.3%) higher risk of LBW. First (risk ratio, 1.02; 95% CI = 1.00, 1.04) and second (1.02; 95% CI = 1.01, 1.05) trimester exposures were associated with increased LBW risk. In a 2-stage approach that longitudinally modeled monthly prenatal exposure levels, a standard deviation increase in average PM2.5 was associated with higher risk of LBW (odds ratio, 1.04; 95% CI = 1.01, 1.08). CONCLUSIONS In Puerto Rico, LBW is associated with prenatal PM2.5 exposure.
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Affiliation(s)
- Kipruto Kirwa
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA
| | | | | | - J. Cordero
- Department of Epidemiology, University of Georgia, Athens, GA
| | - A. Alshawabekeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA
| | - Helen H. Suh
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA
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12
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Li R, Hopke PK, Dozier A, Thurston SW, Thevenet-Morrison K, Croft D, Masiol M, Squizzato S, Chalupa D, Rich DQ. Term birth weight and ambient air pollutant concentrations during pregnancy, among women living in Monroe County, New York. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2019; 29:500-509. [PMID: 30940881 PMCID: PMC6592743 DOI: 10.1038/s41370-019-0131-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 02/23/2019] [Accepted: 02/23/2019] [Indexed: 06/02/2023]
Abstract
Increased ambient air pollutant concentrations during pregnancy have been associated with reduced birth weight, but the etiologically relevant pregnancy time window(s) is/are unclear. In 76,500 singleton births in Monroe County, NY (2005-2016), who were 37-42 gestational weeks at delivery, we used generalized linear models to regress term birth weight against mean gestational month pollutant concentrations, adjusting for mean temperature, and maternal, infant, and medical service use characteristics. Overall, there were no clear patterns of term birth weight change associated with increased concentrations of any pollutant across gestational months. However, among Hispanic women only, increases in all pollutants, except O3, in multiple gestational months, were associated with decreased term birth weight. Each 3.25 µg/m3 increase in PM2.5 concentration in the 6th gestational month was associated with a -20.4 g (95% CI = -34.0, -6.8) reduction in term birth weight among Hispanic women, but a 4.1 g (95% CI = -2.5, 10.8) increase among non-Hispanic mothers (p for interaction < 0.001). Although ambient air pollutant concentrations during pregnancy were not associated with reduced term birth weight among women of all ethnicities living in Monroe County, this observed association in Hispanic mothers may be a result of less exposure misclassification and bias (due to closer residential proximity to the monitoring site).
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Affiliation(s)
- Rui Li
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Ann Dozier
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Sally W Thurston
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Kelly Thevenet-Morrison
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Daniel Croft
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Mauro Masiol
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Stefania Squizzato
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - David Chalupa
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - David Q Rich
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
- Department of Medicine, University of Rochester Medical Center, Rochester, NY, USA.
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, NY, USA.
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13
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Yuan L, Zhang Y, Gao Y, Tian Y. Maternal fine particulate matter (PM 2.5) exposure and adverse birth outcomes: an updated systematic review based on cohort studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:13963-13983. [PMID: 30891704 DOI: 10.1007/s11356-019-04644-x] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 02/19/2019] [Indexed: 04/16/2023]
Abstract
Exposure to ambient air pollutants during pregnancy may be associated with numerous side health effects and adverse birth outcomes. Growing numbers of studies have explored a possible linkage between prenatal exposure to PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) and impacts on fetal development. We aimed to conduct a systematic review based on published cohort studies to summarize evidence regarding the association between maternal PM2.5 exposure and birth outcomes, including birth weight, low birth weight (LBW), preterm birth (PTB), and small for gestational age (SGA). Eligible studies meeting the following criterion were selected: PM2.5 exposure during pregnancy and live birth singletons, certain presentation of sample sizes, and quantitative evaluation of the associations between exposure and outcomes. Among the 42 selected studies, 23 evaluated the impact of prenatal PM2.5 exposure on birth weight of infants while 12 of them provided a significantly negative association for exposure and birth weight. Twenty-one studies aimed to identify the possible relationship between maternal exposure and LBW and 8 studies proved significant associations. Among 18 studies that explored the correlation between prenatal exposure and PTB, 9 reached a consistent conclusion that gestational exposure would add to the risk of PTB. Nine studies assessed the impact of PM2.5 on SGA and 5 of them demonstrated a significant effect. So far, linkages between maternal PM2.5 exposure during varied gestational stages and multiple adverse birth outcomes have been observed in many studies. A summary of them will be meaningful for further research on maternal exposure and adverse birth outcomes.
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Affiliation(s)
- Lei Yuan
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yan Zhang
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China
| | - Yu Gao
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
| | - Ying Tian
- Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, 280 South Chongqing Road, Shanghai, 200025, China.
- MOE and Shanghai Key Laboratory of Children's Environmental Health, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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14
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Parvez F, Wagstrom K. A hybrid modeling framework to estimate pollutant concentrations and exposures in near road environments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 663:144-153. [PMID: 30711580 DOI: 10.1016/j.scitotenv.2019.01.218] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 01/03/2019] [Accepted: 01/18/2019] [Indexed: 06/09/2023]
Abstract
Traffic related air pollution is one of the major local sources of pollution challenging most urban populations. Current air quality modeling approaches can estimate the concentrations of air pollutants on either regional or local scales but cannot effectively estimate concentrations from the combination of regional and local sources at both local and regional scales simultaneously. This study describes a hybrid modeling framework, HYCAMR, combining a regional model, CAMx, and a local-scale dispersion model, R-LINE, to estimate concentrations of both primary and secondary species at high temporal (hourly) and spatial (40 m) resolution. HYCAMR utilizes all the chemical and physical processes available in CAMx and the Particulate Matter Source Apportionment Technology (PSAT) tool to estimate concentrations from both onroad and nonroad emission sources. HYCAMR employs R-LINE, to estimate the normalized dispersion of pollutant mass from onroad emission sources, from primary and secondary roads, at high resolution. Applying R-LINE for one day per month using average daily meteorology yields seasonally-resolved spatial dispersion profiles at low computational cost. Combining the R-LINE spatial dispersion profile with CAMx concentration estimates yields an estimate of the combined concentrations for a range of pollutants at high spatial and temporal resolution. In three major cities in Connecticut, HYCAMR shows strong temporal and seasonal variability in NOx, PM2.5, and elemental carbon (EC) concentrations. This study evaluates HYCAMR year 2011 estimates of NO2 and PM2.5 against two sources: satellite-based estimates at coarse resolution and regression model estimates at census block group resolution. In this evaluation, HYCAMR demonstrates improved agreement with the land-use regression modeling and mixed agreement with satellite-based estimates when compared to the regional CAMx estimates.
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Affiliation(s)
- Fatema Parvez
- Department of Chemical and Biomolecular Engineering, University of Connecticut 191 Auditorium Road, Unit 3222. Storrs, CT 06269-3222, United States of America.
| | - Kristina Wagstrom
- Department of Chemical and Biomolecular Engineering, University of Connecticut 191 Auditorium Road, Unit 3222. Storrs, CT 06269-3222, United States of America.
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15
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Xiong L, Xu Z, Tan J, Wang H, Liu Z, Wang A, Xie D, Kong F. Acute effects of air pollutants on adverse birth outcomes in Changsha, China: A population data with time-series analysis from 2015 to 2017. Medicine (Baltimore) 2019; 98:e14127. [PMID: 30653143 PMCID: PMC6370066 DOI: 10.1097/md.0000000000014127] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Evidence for the acute effects of air pollutants on adverse birth outcomes is not yet conclusive. Furthermore, there are no investigations relating to the association between air pollutants and macrosomia. The aim of this study was to determine the relationship between air pollutants and low birth weight, preterm birth, and macrosomia in Changsha. Time-series analysis, using a generalized additive model was applied. Data about the adverse birth outcomes was collected from 78 midwifery institutions. Air pollution data including SO2, NO2, particulate matter <10 μm in diameter (PM10), particulate matter <2.5 μm in diameter (PM2.5), O3, CO, and climate data were respectively collected from the Changsha Environmental Protection Agency and the Changsha Meteorological Bureau from January 2015 to December 2017. During the study period, there were 344,880 live births to be studied. In a single pollutant model, for every increase of 10 μg/m in PM10 and PM2.5, low birth weight increased by 0.12% (95% confidence interval [CI]: 0.01-0.23%) at a lag 06 and 0.44% (95% CI: 0.35-0.53%) at a lag 3, respectively. Preterm birth increased most by 1.60% (95% CI: 1.41-1.80%) at a lag 2 for every increase of 10 μg/m in SO2. The highest increases in macrosomia associated with a 10 μg/m increase in air pollutant were 3.53% (95% CI: 3.41-3.64%) for NO2 at lag 0, 3.33% (95% CI: 3.05-3.60%) for SO2 at lag03. Multi-pollutant models showed that only PM10 increased the low birth weight and preterm birth risk effect by 3.91% (95% CI: 3.67-4.12%) and 0.25% (95% CI: 0.14-0.37%). NO2 increased macrosomia risk by 4.14% (95% CI: 3.97-4.31%) with a 10 μg/m increase. There was no association observed between the air pollutants O3 and CO and adverse birth outcomes. Pregnant women should also take steps to limit their exposure to high levels of air pollutants during the final weeks of pregnancy.
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Affiliation(s)
- Lili Xiong
- Hunan Province Maternal and Children Care Hospital
| | | | - Jie Tan
- Hunan Province Environmental Monitoring Centre, Changsha, China
| | - Hua Wang
- Hunan Province Maternal and Children Care Hospital
| | - Zhiyu Liu
- Hunan Province Maternal and Children Care Hospital
| | - Aihua Wang
- Hunan Province Maternal and Children Care Hospital
| | - Donghua Xie
- Hunan Province Maternal and Children Care Hospital
| | - Fanjuan Kong
- Hunan Province Maternal and Children Care Hospital
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Balakrishnan K, Ghosh S, Thangavel G, Sambandam S, Mukhopadhyay K, Puttaswamy N, Sadasivam A, Ramaswamy P, Johnson P, Kuppuswamy R, Natesan D, Maheshwari U, Natarajan A, Rajendran G, Ramasami R, Madhav S, Manivannan S, Nargunanadan S, Natarajan S, Saidam S, Chakraborty M, Balakrishnan L, Thanasekaraan V. Exposures to fine particulate matter (PM 2.5) and birthweight in a rural-urban, mother-child cohort in Tamil Nadu, India. ENVIRONMENTAL RESEARCH 2018; 161:524-531. [PMID: 29227900 DOI: 10.1016/j.envres.2017.11.050] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 11/21/2017] [Accepted: 11/28/2017] [Indexed: 05/21/2023]
Abstract
BACKGROUND Exposure to PM2.5 (fine particulate matter <less than 2.5µm in aerodynamic diameter) related to ambient and household air pollution has been associated with low birthweight. Few of these studies, however, have been conducted in high exposure settings that are commonly encountered in low and middle income countries (LMICs). OBJECTIVES We examined whether PM2.5 exposures during pregnancy were associated with birthweight in an integrated rural-urban, mother-child cohort in the state of Tamil Nadu, India. METHODS We recruited 1285 pregnant women in the first trimester of pregnancy from primary health care centers and urban health posts and followed them until birth to collect antenatal care data and birthweight. We estimated pregnancy period PM 2.5 exposures through direct serial measurements of 24-h household PM2.5 concentrations, performed across each trimester. Mothers also completed detailed questionnaires to provide data on covariates related to household, socio-economic, demographic and maternal health characteristics. The association between PM2.5 exposures and birth weight was assessed using linear and logistic regression models that controlled for potential confounders. RESULTS A 10-μg/m3 increase in pregnancy period PM2.5 exposures was associated with a 4g (95% CI: 1.08g, 6.76g) decrease in birthweight and 2% increase in prevalence of low birthweight [odds ratio(OR) = 1.02; 95%CI:1.005,1.041] after adjusting for gestational age, infant sex, maternal BMI, maternal age, history of a previous low birth weight child, birth order and season of conception. CONCLUSIONS The study provides some of the first quantitative effects estimates for linking rural-urban PM2.5 exposures and birthweight in India, adding important evidence for this association from high exposure settings in LMICs, that also experience dual health burdens from ambient and household air pollution. Study results also point to the need for considering maternal PM2.5 exposures alongside other risk factors for low birthweight in India.
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Affiliation(s)
- Kalpana Balakrishnan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India.
| | - Santu Ghosh
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Gurusamy Thangavel
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Sankar Sambandam
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Krishnendu Mukhopadhyay
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Naveen Puttaswamy
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Arulselvan Sadasivam
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Padmavathi Ramaswamy
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Priscilla Johnson
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Rajarajeswari Kuppuswamy
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Durairaj Natesan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Uma Maheshwari
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Amudha Natarajan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Gayathri Rajendran
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Rengaraj Ramasami
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Sathish Madhav
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Saraswathy Manivannan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Srinivasan Nargunanadan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Srinivasan Natarajan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Sudhakar Saidam
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Moumita Chakraborty
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Lingeswari Balakrishnan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
| | - Vijayalakshmi Thanasekaraan
- SRU-ICMR Center for Advanced Research on Air Quality, Climate and Health, Sri Ramachandra University, Chennai, India
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17
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Requia WJ, Higgins CD, Adams MD, Mohamed M, Koutrakis P. The health impacts of weekday traffic: A health risk assessment of PM 2.5 emissions during congested periods. ENVIRONMENT INTERNATIONAL 2018; 111:164-176. [PMID: 29220727 DOI: 10.1016/j.envint.2017.11.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 11/27/2017] [Accepted: 11/28/2017] [Indexed: 06/07/2023]
Abstract
Little work has accounted for congestion, using data that reflects driving patterns, traffic volume, and speed, to examine the association between traffic emissions and human health. In this study, we performed a health risk assessment of PM2.5 emissions during congestion periods in the Greater Toronto and Hamilton Area (GTHA), Canada. Specifically, we used a micro-level approach that combines the Stochastic User Equilibrium Traffic Assignment Algorithm with a MOVES emission model to estimate emissions considering congestion conditions. Subsequently, we applied a concentration-response function to estimate PM2.5-related mortality, and the associated health costs. Our results suggest that traffic congestion has a substantial impact on human health and the economy in the GTHA, especially at the most congested period (7:00am). Considering daily mortality, our results showed an impact of 206 (boundary test 95%: 116; 297) and 119 (boundary test 95%: 67; 171) deaths per year (all-cause and cardiovascular mortality, respectively). The economic impact from daily mortality is approximately $1.3 billion (boundary test 95%: 0.8; 1.9), and $778 million (boundary test 95%: 478; 981), for all-cause and cardiovascular mortality, respectively. Our study can guide reliable projections of transportation and air pollution levels, improving the capability of the medical community to prepare for future trends.
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Affiliation(s)
- Weeberb J Requia
- McMaster University, McMaster Institute for Transportation and Logistics, Hamilton, Ontario, Canada.
| | - Christopher D Higgins
- The Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong; The Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong
| | - Matthew D Adams
- University of Toronto Mississauga, Department of Geography, Mississauga, Ontario, Canada
| | - Moataz Mohamed
- McMaster University, Department of Civil Engineering, Hamilton, Ontario, Canada
| | - Petros Koutrakis
- Harvard University, School of Public Health, Boston, MA, United States
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18
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Nascimento LFC, Machin AB, dos Santos DAA. Are there differences in birth weight according to sex and associations with maternal exposure to air pollutants? A cohort study. SAO PAULO MED J 2017; 135:347-354. [PMID: 28767987 PMCID: PMC10016008 DOI: 10.1590/1516-3180.2016.0262100317] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/10/2017] [Indexed: 11/21/2022] Open
Abstract
CONTEXT AND OBJECTIVE Several effects of exposure to air pollutants on human health are known. The aim of this study was to identify whether exposure of pregnant women to air pollutants contributes towards low birth weight and which sex is more affected. DESIGN AND SETTING Longitudinal study using data on newborns from mothers living in São José do Rio Preto (SP) who were exposed to air pollutants in 2012-2013. METHODS A hierarchical model on three levels was built using maternal and newborn variables and environmental concentrations of particulate matter, ozone and nitrogen dioxide in quartiles. Preterm new-borns, twins and newborns with birth defects were excluded and exposure windows of 30, 60 and 90 days before delivery were considered. RESULTS 8,948 newborns were included: 4,491 males (50.2%) and 4,457 females (49.8%); 301 newborns presented low birth weight (3.4%). The mean weight differed between males (3281.0 g) and females (3146.4 g) (P < 0.001). Exposure to ozone was significantly associated with low birth weight in both sexes in the 30-day window (odds ratio, OR = 1.38) and 90-day window (OR = 1.48); and among females, in the 30-day window (OR = 1.58) and 90-day window (OR = 1.59). Exposure to particulate matter had a paradoxical protective effect. No association was found among male newborns. CONCLUSIONS Female newborns showed greater susceptibility to maternal exposure to air pollutants. Studies on low birth weight in relation to maternal exposure to air pollutants should deal with males and females separately.
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Affiliation(s)
- Luiz Fernando Costa Nascimento
- PhD. Researcher, Department of Energy, Universidade Estadual Paulista (UNESP), Guaratinguetá (SP), and Assistant Professor, Department of Medicine, Universidade de Taubaté (UNITAU), Taubaté (SP), Brazil.
| | - Adrian Blanco Machin
- BSc. Postgraduate Student, Department of Energy, Universidade Estadual Paulista (UNESP), Guaratinguetá (SP), Brazil.
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19
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Sun X, Luo X, Zhao C, Zhang B, Tao J, Yang Z, Ma W, Liu T. The associations between birth weight and exposure to fine particulate matter (PM2.5) and its chemical constituents during pregnancy: A meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2016; 211:38-47. [PMID: 26736054 DOI: 10.1016/j.envpol.2015.12.022] [Citation(s) in RCA: 154] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Revised: 12/14/2015] [Accepted: 12/14/2015] [Indexed: 05/21/2023]
Abstract
We performed this meta-analysis to estimate the associations of maternal exposure to PM2.5 and its chemical constituents with birth weight and to explore the sources of heterogeneity in regard to the findings of these associations. A total of 32 studies were identified by searching the MEDLINE, PUBMED, Embase, China Biological Medicine and Wanfang electronic databases before April 2015. We estimated the statistically significant associations of reduced birth weight (β = -15.9 g, 95% CI: -26.8, -5.0) and LBW (OR = 1.090, 95% CI: 1.032, 1.150) with PM2.5 exposure (per 10 μg/m(3) increment) during the entire pregnancy. Trimester-specific analyses showed negative associations between birth weight and PM2.5 exposure during the second (β = -12.6 g) and third (β = -10.0 g) trimesters. Other subgroup analyses indicated significantly different pooled-effect estimates of PM2.5 exposure on birth weight in studies with different exposure assessment methods, study designs and study settings. We further observed large differences in the pooled effect estimates of the PM2.5 chemical constituents for birth weight decrease and LBW. We concluded that PM2.5 exposure during pregnancy was associated with lower birth weight, and late pregnancy might be the critical window. Some specific PM2.5 constituents may have larger toxic effects on fetal weight. Exposure assessment methods, study designs and study settings might be important sources of the heterogeneity among the included studies.
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Affiliation(s)
- Xiaoli Sun
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China
| | - Xiping Luo
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China.
| | - Chunmei Zhao
- Gynecology Department, Guangdong Women and Children Hospital, Guangzhou, 511442, China
| | - Bo Zhang
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Tao
- South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510085, China
| | - Zuyao Yang
- Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, 999000, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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20
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Gronlund CJ, Humbert S, Shaked S, O'Neill MS, Jolliet O. Characterizing the burden of disease of particulate matter for life cycle impact assessment. AIR QUALITY, ATMOSPHERE, & HEALTH 2015; 8:29-46. [PMID: 25972992 PMCID: PMC4426268 DOI: 10.1007/s11869-014-0283-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Fine particulate air pollution (PM2.5) is a major environmental contributor to human burden of disease and therefore an important component of life cycle impact assessments. An accurate PM2.5 characterization factor, i.e., the impact per kg of PM2.5 emitted, is critical to estimating "cradle-to-grave" human health impacts of products and processes. We developed and assessed new characterization factors (disability-adjusted life years (DALY)/kgPM2.5 emitted), or the products of dose-response factors (deaths/kgPM2.5 inhaled), severity factors (DALY/death) and intake fractions (kgPM2.5 inhaled/kgPM2.5 emitted). In contrast to previous health burden estimates, we calculated age-specific concentration- and dose-response factors using baseline data, from 63 U.S. metropolitan areas, consistent with the U.S. study population used to derive the relative risk. We also calculated severity factors using 2010 Global Burden of Disease data. Multiplying the revised PM2.5 dose-responses, severity factors and intake fractions yielded new PM2.5 characterization factors that are higher than previous factors for primary PM2.5 but lower for secondary PM2.5 due to NOx. Multiplying the concentration-response and severity factors by 2005 ambient PM2.5 concentrations yielded an annual U.S. burden of 2,000,000 DALY, slightly lower than previous U.S. estimates. The annual U.S. health burden estimated from PM emissions and characterization factors was 2.2 times higher.
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Affiliation(s)
| | | | - Shanna Shaked
- University of California, Los Angeles, Physics and Astronomy, Los Angeles, California
| | - Marie S O'Neill
- University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Olivier Jolliet
- University of Michigan School of Public Health, Ann Arbor, Michigan
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Lakshmanan A, Chiu YHM, Coull BA, Just AC, Maxwell SL, Schwartz J, Gryparis A, Kloog I, Wright RJ, Wright RO. Associations between prenatal traffic-related air pollution exposure and birth weight: Modification by sex and maternal pre-pregnancy body mass index. ENVIRONMENTAL RESEARCH 2015; 137:268-277. [PMID: 25601728 PMCID: PMC4354711 DOI: 10.1016/j.envres.2014.10.035] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2014] [Revised: 10/29/2014] [Accepted: 10/31/2014] [Indexed: 05/15/2023]
Abstract
BACKGROUND Prenatal traffic-related air pollution exposure is linked to adverse birth outcomes. However, modifying effects of maternal body mass index (BMI) and infant sex remain virtually unexplored. OBJECTIVES We examined whether associations between prenatal air pollution and birth weight differed by sex and maternal BMI in 670 urban ethnically mixed mother-child pairs. METHODS Black carbon (BC) levels were estimated using a validated spatio-temporal land-use regression (LUR) model; fine particulate matter (PM2.5) was estimated using a hybrid LUR model incorporating satellite-derived Aerosol Optical Depth measures. Using stratified multivariable-adjusted regression analyses, we examined whether associations between prenatal air pollution and calculated birth weight for gestational age (BWGA) z-scores varied by sex and maternal pre-pregnancy BMI. RESULTS Median birth weight was 3.3±0.6kg; 33% of mothers were obese (BMI ≥30kg/m(3)). In stratified analyses, the association between higher PM2.5 and lower birth weight was significant in males of obese mothers (-0.42 unit of BWGA z-score change per IQR increase in PM2.5, 95%CI: -0.79 to -0.06) ( PM2.5×sex×obesity Pinteraction=0.02). Results were similar for BC models (Pinteraction=0.002). CONCLUSIONS Associations of prenatal exposure to traffic-related air pollution and reduced birth weight were most evident in males born to obese mothers.
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Affiliation(s)
- Ashwini Lakshmanan
- Division of Neonatal Medicine, Children’s Hospital Los Angeles, Los Angeles, CA, USA
| | | | - Brent A. Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Allan C. Just
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Sarah L. Maxwell
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital & Harvard Medical School, Boston, MA
| | - Joel Schwartz
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Alexandros Gryparis
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School of Athens, Athens, Greece
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Rosalind J. Wright
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O. Wright
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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22
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Lamichhane DK, Leem JH, Lee JY, Kim HC. A meta-analysis of exposure to particulate matter and adverse birth outcomes. ENVIRONMENTAL HEALTH AND TOXICOLOGY 2015; 30:e2015011. [PMID: 26796890 PMCID: PMC4722965 DOI: 10.5620/eht.e2015011] [Citation(s) in RCA: 160] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Accepted: 11/02/2015] [Indexed: 05/20/2023]
Abstract
OBJECTIVES The objective of this study was to conduct a systematic review to provide summarized evidence on the association between maternal exposure to particulate air pollution and birth weight (BW) and preterm birth (PTB) after taking into consideration the potential confounding effect of maternal smoking. METHODS We systematically searched all published cohort and case-control studies examining BW and PTB association with particulate matter (PM, less than or equal to 2.5μm and 10.0 μm in diameter, PM2.5 and PM10, respectively) from PubMed and Web of Science, from January 1980 to April 2015. We extracted coefficients for continuous BW and odds ratio (OR) for PTB from each individual study, and meta-analysis was used to combine the coefficient and OR of individual studies. The methodological quality of individual study was assessed using a standard protocol proposed by Downs and Black. Forty-four studies met the inclusion criteria. RESULTS In random effects meta-analyses, BW as a continuous outcome was negativelyassociated with 10 μg/m(3) increase in PM10 (-10.31 g; 95% confidence interval [CI], -13.57 to -3.13 g; I-squared=0%, p=0.947) and PM2.5 (-22.17 g; 95% CI, -37.93 to -6.41 g; I-squared=92.3%, p <0.001) exposure during entire pregnancy, adjusted for maternal smoking. A significantly increased risk of PTB per 10 μg/m(3) increase in PM10 (OR, 1.23; 95% CI, 1.04 to 1.41; I-squared=0%, p =0.977) and PM2.5 (OR, 1.14; 95% CI, 1.06 to 1.22; I-squared=92.5%, p <0.001) exposure during entire pregnancy was observed. Effect size of change in BW per 10 μg/m(3) increase in PM tended to report stronger associations after adjustment for maternal smoking. CONCLUSIONS While this systematic review supports an adverse impact of maternal exposure to particulate air pollution on birth outcomes, variation in effects by exposure period and sources of heterogeneity between studies should be further explored.
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Affiliation(s)
- Dirga Kumar Lamichhane
- Department of Social and Preventive Medicine, Inha University School of Medicine, Incheon, Korea
| | - Jong-Han Leem
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Korea
- Correspondence: Jong-Han Leem 27 Inhang-ro Jung-gu, Incheon 22332,Korea Tel: +82-32-890-3539 Fax: +82-32-890-2859 E-mail:
| | - Ji-Young Lee
- Department of Social and Preventive Medicine, Inha University School of Medicine, Incheon, Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University School of Medicine, Incheon, Korea
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23
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24
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Darçın M. Association between air quality and quality of life. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2014; 21:1954-1959. [PMID: 24014226 DOI: 10.1007/s11356-013-2101-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 08/26/2013] [Indexed: 06/02/2023]
Abstract
Air quality-or its converse, air pollution-is a significant risk factor for human health. Recent studies have reported association between air pollution and human health. There are numerous diseases that may be caused by air pollution such as respiratory infection, lung cancer, cardiovascular disease, chronic obstructive pulmonary disease, and asthma. In this study, the relationship between air quality and quality of life was examined by using canonical correlation analysis. Data of this study was collected from 27 countries. WHO statistics were used as the main source of quality of life data set (Y variables set). European Environment Agency statistics and (for outdoor air-PM10) WHO statistics were used as the main source of air quality data set (X variables set). It is found that there are significant positive correlation between air quality and quality of life.
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Affiliation(s)
- Murat Darçın
- Ministry of Interior Affairs, Ankara, Turkey.
- , Kemalpasa mahallesi Kardelen sitesi 4/1, Sakarya, Turkey.
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25
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Dadvand P, Parker J, Bell ML, Bonzini M, Brauer M, Darrow LA, Gehring U, Glinianaia SV, Gouveia N, Ha EH, Leem JH, van den Hooven EH, Jalaludin B, Jesdale BM, Lepeule J, Morello-Frosch R, Morgan GG, Pesatori AC, Pierik FH, Pless-Mulloli T, Rich DQ, Sathyanarayana S, Seo J, Slama R, Strickland M, Tamburic L, Wartenberg D, Nieuwenhuijsen MJ, Woodruff TJ. Maternal exposure to particulate air pollution and term birth weight: a multi-country evaluation of effect and heterogeneity. ENVIRONMENTAL HEALTH PERSPECTIVES 2013; 121:267-373. [PMID: 23384584 PMCID: PMC3621183 DOI: 10.1289/ehp.1205575] [Citation(s) in RCA: 296] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2012] [Accepted: 12/28/2012] [Indexed: 05/18/2023]
Abstract
BACKGROUND A growing body of evidence has associated maternal exposure to air pollution with adverse effects on fetal growth; however, the existing literature is inconsistent. OBJECTIVES We aimed to quantify the association between maternal exposure to particulate air pollution and term birth weight and low birth weight (LBW) across 14 centers from 9 countries, and to explore the influence of site characteristics and exposure assessment methods on between-center heterogeneity in this association. METHODS Using a common analytical protocol, International Collaboration on Air Pollution and Pregnancy Outcomes (ICAPPO) centers generated effect estimates for term LBW and continuous birth weight associated with PM(10) and PM(2.5) (particulate matter ≤ 10 and 2.5 µm). We used meta-analysis to combine the estimates of effect across centers (~ 3 million births) and used meta-regression to evaluate the influence of center characteristics and exposure assessment methods on between-center heterogeneity in reported effect estimates. RESULTS In random-effects meta-analyses, term LBW was positively associated with a 10-μg/m3 increase in PM10 [odds ratio (OR) = 1.03; 95% CI: 1.01, 1.05] and PM(2.5) (OR = 1.10; 95% CI: 1.03, 1.18) exposure during the entire pregnancy, adjusted for maternal socioeconomic status. A 10-μg/m3 increase in PM(10) exposure was also negatively associated with term birth weight as a continuous outcome in the fully adjusted random-effects meta-analyses (-8.9 g; 95% CI: -13.2, -4.6 g). Meta-regressions revealed that centers with higher median PM(2.5) levels and PM(2.5):PM(10) ratios, and centers that used a temporal exposure assessment (compared with spatiotemporal), tended to report stronger associations. CONCLUSION Maternal exposure to particulate pollution was associated with LBW at term across study populations. We detected three site characteristics and aspects of exposure assessment methodology that appeared to contribute to the variation in associations reported by centers.
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Affiliation(s)
- Payam Dadvand
- Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
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26
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Stieb DM, Chen L, Eshoul M, Judek S. Ambient air pollution, birth weight and preterm birth: a systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2012; 117:100-11. [PMID: 22726801 DOI: 10.1016/j.envres.2012.05.007] [Citation(s) in RCA: 543] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2011] [Revised: 05/07/2012] [Accepted: 05/16/2012] [Indexed: 05/19/2023]
Abstract
Low birth weight and preterm birth have a substantial public health impact. Studies examining their association with outdoor air pollution were identified using searches of bibliographic databases and reference lists of relevant papers. Pooled estimates of effect were calculated, heterogeneity was quantified, meta-regression was conducted and publication bias was examined. Sixty-two studies met the inclusion criteria. The majority of studies reported reduced birth weight and increased odds of low birth weight in relation to exposure to carbon monoxide (CO), nitrogen dioxide (NO(2)) and particulate matter less than 10 and 2.5 microns (PM(10) and PM(2.5)). Effect estimates based on entire pregnancy exposure were generally largest. Pooled estimates of decrease in birth weight ranged from 11.4 g (95% confidence interval -6.9-29.7) per 1 ppm CO to 28.1g (11.5-44.8) per 20 ppb NO(2), and pooled odds ratios for low birth weight ranged from 1.05 (0.99-1.12) per 10 μg/m(3) PM(2.5) to 1.10 (1.05-1.15) per 20 μg/m(3) PM(10) based on entire pregnancy exposure. Fewer effect estimates were available for preterm birth and results were mixed. Pooled odds ratios based on 3rd trimester exposures were generally most precise, ranging from 1.04 (1.02-1.06) per 1 ppm CO to 1.06 (1.03-1.11) per 20 μg/m(3) PM(10). Results were less consistent for ozone and sulfur dioxide for all outcomes. Heterogeneity between studies varied widely between pollutants and outcomes, and meta-regression suggested that heterogeneity could be partially explained by methodological differences between studies. While there is a large evidence base which is indicative of associations between CO, NO(2), PM and pregnancy outcome, variation in effects by exposure period and sources of heterogeneity between studies should be further explored.
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Affiliation(s)
- David M Stieb
- Environmental Health Science and Research Bureau, Health Canada, 3rd floor, 269 Laurier Ave. W., Ottawa, ON, Canada K1A 0K9.
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27
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Bell ML, Belanger K, Ebisu K, Gent JF, Leaderer BP. Relationship between birth weight and exposure to airborne fine particulate potassium and titanium during gestation. ENVIRONMENTAL RESEARCH 2012; 117:83-9. [PMID: 22705336 PMCID: PMC3418490 DOI: 10.1016/j.envres.2012.05.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2011] [Revised: 05/10/2012] [Accepted: 05/14/2012] [Indexed: 05/21/2023]
Abstract
Airborne particles are linked to numerous health impacts, including adverse pregnancy outcomes. Most studies of particles examined total mass, although the chemical structure of particles varies widely. We investigated whether mother's exposure to potassium (K) and titanium (Ti) components of airborne fine particulate matter (PM(2.5)) during pregnancy was associated with birth weight or risk of low birth weight (<2500 g) for term infants. The study population was 76,788 infants born in four counties in Connecticut and Massachusetts, US, for August 2000-February 2004. Both K and Ti were associated with birth weight. An interquartile range (IQR) increase K was associated with an 8.75% (95% confidence interval (CI): 1.24-16.8%) increase in risk of low birth weight. An IQR increase in Ti was associated with a 12.1% (95% CI: 3.55-21.4%) increase in risk of low birth weight, with an estimate of 6.41% (95% CI: -5.80-20.2%) for males and 16.4% (95% CI: 5.13-28.9%) for females. Results were robust to sensitivity analysis of first births only, but not adjustment by co-pollutants. Disentangling the effects of various chemical components is challenging because of the covariance among some components due to similar sources. Central effect estimates for infants of African-American mothers were higher than those of white mothers, although the confidence intervals overlapped. Our results indicate that exposure to airborne potassium and titanium during pregnancy is associated with lower birth weight. Associations may relate to chemical components of sources producing K and Ti.
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Affiliation(s)
- Michelle L. Bell
- Yale University, School of Forestry and Environmental Studies, 195 Prospect St., New Haven, CT 06511, USA
| | - Kathleen Belanger
- Yale University, Yale Center for Perinatal, Pediatric and Environmental Epidemiology, 1 Church Street, 6th Floor, New Haven CT 06511, USA
| | - Keita Ebisu
- Yale University, School of Forestry and Environmental Studies, 195 Prospect St., New Haven, CT 06511, USA
| | - Janneane F. Gent
- Yale University, Yale Center for Perinatal, Pediatric and Environmental Epidemiology, 1 Church Street, 6th Floor, New Haven CT 06511, USA
| | - Brian P. Leaderer
- Yale University, Yale Center for Perinatal, Pediatric and Environmental Epidemiology, 1 Church Street, 6th Floor, New Haven CT 06511, USA
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28
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Parker JD, Rich DQ, Glinianaia SV, Leem JH, Wartenberg D, Bell ML, Bonzini M, Brauer M, Darrow L, Gehring U, Gouveia N, Grillo P, Ha E, van den Hooven EH, Jalaludin B, Jesdale BM, Lepeule J, Morello-Frosch R, Morgan GG, Slama R, Pierik FH, Pesatori AC, Sathyanarayana S, Seo J, Strickland M, Tamburic L, Woodruff TJ. The International Collaboration on Air Pollution and Pregnancy Outcomes: initial results. ENVIRONMENTAL HEALTH PERSPECTIVES 2011; 119:1023-8. [PMID: 21306972 PMCID: PMC3222970 DOI: 10.1289/ehp.1002725] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2010] [Accepted: 02/09/2011] [Indexed: 05/05/2023]
Abstract
BACKGROUND The findings of prior studies of air pollution effects on adverse birth outcomes are difficult to synthesize because of differences in study design. OBJECTIVES The International Collaboration on Air Pollution and Pregnancy Outcomes was formed to understand how differences in research methods contribute to variations in findings. We initiated a feasibility study to a) assess the ability of geographically diverse research groups to analyze their data sets using a common protocol and b) perform location-specific analyses of air pollution effects on birth weight using a standardized statistical approach. METHODS Fourteen research groups from nine countries participated. We developed a protocol to estimate odds ratios (ORs) for the association between particulate matter ≤ 10 μm in aerodynamic diameter (PM₁₀) and low birth weight (LBW) among term births, adjusted first for socioeconomic status (SES) and second for additional location-specific variables. RESULTS Among locations with data for the PM₁₀ analysis, ORs estimating the relative risk of term LBW associated with a 10-μg/m³ increase in average PM₁₀ concentration during pregnancy, adjusted for SES, ranged from 0.63 [95% confidence interval (CI), 0.30-1.35] for the Netherlands to 1.15 (95% CI, 0.61-2.18) for Vancouver, with six research groups reporting statistically significant adverse associations. We found evidence of statistically significant heterogeneity in estimated effects among locations. CONCLUSIONS Variability in PM₁₀-LBW relationships among study locations remained despite use of a common statistical approach. A more detailed meta-analysis and use of more complex protocols for future analysis may uncover reasons for heterogeneity across locations. However, our findings confirm the potential for a diverse group of researchers to analyze their data in a standardized way to improve understanding of air pollution effects on birth outcomes.
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Affiliation(s)
- Jennifer D Parker
- National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, Maryland 20782, USA.
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29
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Prenatal exposure to fine particulate matter and birth weight: variations by particulate constituents and sources. Epidemiology 2011; 21:884-91. [PMID: 20811286 DOI: 10.1097/ede.0b013e3181f2f405] [Citation(s) in RCA: 181] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Exposure to fine particles (PM2.5) during pregnancy has been linked to lower birth weight; however, the chemical composition of PM2.5 varies widely. The health effects of PM2.5 constituents are unknown. METHODS We investigated whether PM2.5 mass, constituents, and sources are associated with birth weight for term births. PM2.5 filters collected in 3 Connecticut counties and 1 Massachusetts county from August 2000 through February 2004 were analyzed for more than 50 elements. Source apportionment was used to estimate daily contributions of PM2.5 sources, including traffic, road dust/crustal, oil combustion, salt, and regional (sulfur) sources. Gestational and trimester exposure to PM2.5 mass, constituents, and source contributions were examined in relation to birth weight and risk of small-at-term birth (term birth <2500 g) for 76,788 infants. RESULTS Road dust and related constituents such as silicon and aluminum were associated with lower birth weight, as were the motor-vehicle-related species such as elemental carbon and zinc, and the oil-combustion-associated elements vanadium and nickel. An interquartile range increase in exposure was associated with low birthweight for zinc (12% increase in risk), elemental carbon (13%), silicon (10%), aluminum (11%), vanadium (8%), and nickel (11%). Analysis by trimester showed effects of third-trimester exposure to elemental carbon, nickel, vanadium, and oil-combustion PM2.5. CONCLUSIONS Exposures of pregnant women to higher levels of certain PM2.5 chemical constituents originating from specific sources are associated with lower birth weight.
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