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O'Sharkey K, Xu Y, Cabison J, Rosales M, Yang T, Chavez T, Johnson M, Lerner D, Lurvey N, Corral CMT, Farzan SF, Bastain TM, Breton CV, Habre R. Effects of in-utero personal exposure to PM 2.5 sources and components on birthweight. Sci Rep 2023; 13:21987. [PMID: 38081912 PMCID: PMC10713978 DOI: 10.1038/s41598-023-48920-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 12/01/2023] [Indexed: 12/18/2023] Open
Abstract
In-utero exposure to fine particulate matter (PM2.5) and specific sources and components of PM2.5 have been linked with lower birthweight. However, previous results have been mixed, likely due to heterogeneity in sources impacting PM2.5 and due to measurement error from using ambient data. Therefore, we investigated the effect of PM2.5 sources and their high-loading components on birthweight using data from 198 women in the 3rd trimester from the MADRES cohort 48-h personal PM2.5 exposure monitoring sub-study. The mass contributions of six major sources of personal PM2.5 exposure were estimated for 198 pregnant women in the 3rd trimester using the EPA Positive Matrix Factorization v5.0 model, along with their 17 high-loading chemical components using optical carbon and X-ray fluorescence approaches. Single- and multi-pollutant linear regressions evaluated the association between personal PM2.5 sources/components and birthweight, adjusting for gestational age, maternal age, race, infant sex, parity, diabetes status, temperature, maternal education, and smoking history. Participants were predominately Hispanic (81%), with a mean (SD) gestational age of 39.1 (1.5) weeks and age of 28.2 (6.0) years. Mean birthweight was 3295.8 g (484.1) and mean PM2.5 exposure was 21.3 (14.4) µg/m3. A 1 SD increase in the mass contribution of the fresh sea salt source was associated with a 99.2 g decrease in birthweight (95% CI - 197.7, - 0.6), and aged sea salt was associated with a 70.1 g decrease in birthweight (95% CI - 141.7, 1.4). Magnesium, sodium, and chlorine were associated with lower birthweight, which remained after adjusting for PM2.5 mass. This study found evidence that major sources of personal PM2.5 including fresh and aged sea salt were negatively associated with birthweight, with the strongest effect on birthweight from Na and Mg. The effect of crustal and fuel oil sources differed by infant sex with negative associations seen in boys compared to positive associations in girls.
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Affiliation(s)
- Karl O'Sharkey
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA.
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | | | | | - Claudia M Toledo Corral
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
- Department of Health Sciences, California State University Northridge, Northridge, CA, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Carrie V Breton
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, University of Southern California, 1845 N Soto St., Los Angeles, CA, 90089, USA
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
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Huang Y, Gong X, Liu L, Luo L, Leng S, Lin Y. Maternal exposure to metal components of PM 2.5 and low birth weight in New Mexico, USA. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:98526-98535. [PMID: 37608181 PMCID: PMC10829739 DOI: 10.1007/s11356-023-29291-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/08/2023] [Indexed: 08/24/2023]
Abstract
Infants with low birth weight (LBW) are more likely to have health problems than normal weight infants. In studies examining the associations between particulate matter (PM) exposures and LBW, there is a tendency to focus on PM2.5 as a whole. However, insufficient information is available regarding the effects of different components of PM2.5 on birth weight. This study identified the associations between maternal exposure to 10 metal components of PM2.5 and LBW in offspring based on small area (divided by population size) level data in New Mexico, USA, from 2012 to 2016. This study used a pruned feed-forward neural network (pruned-FNN) approach to estimate the annual average exposure index to each metal component in each small area. The linear regression model was employed to examine the association between maternal PM2.5 metal exposures and LBW rate in small areas, adjusting for the female percentage and race/ethnicity compositions, marriage status, and educational level in the population. An interquartile range increase in maternal exposure to mercury and chromium of PM2.5 increased LBW rate by 0.43% (95% confidence interval (CI): 0.18-0.68%) and 0.63% (95% CI: 0.15-1.12%), respectively. These findings suggest that maternal exposure to metal components of air pollutants may increase the risk of LBW in offspring. With no similar studies in New Mexico, this study also posed great importance because of a higher LBW rate in New Mexico than the national average. These findings provide critical information to inform further epidemiological, biological, and toxicological studies.
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Affiliation(s)
- Yanhong Huang
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
| | - Xi Gong
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA.
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Lin Liu
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
- Department of Computer Science, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Li Luo
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Shuguang Leng
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, 87131, USA
- Lung Cancer Program, Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Yan Lin
- Department of Geography & Environmental Studies, University of New Mexico, Albuquerque, NM, 87131, USA
- UNM Center for the Advancement of Spatial Informatics Research and Education (ASPIRE), University of New Mexico, Albuquerque, NM, 87131, USA
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O'Sharkey K, Xu Y, Cabison J, Rosales M, Yang T, Chavez T, Johnson M, Lerner D, Lurvey N, Toledo Corral CM, Farzan SF, Bastain TM, Breton CV, Habre R. Effects of In-Utero Personal Exposure to PM2.5 Sources and Components on Birthweight. RESEARCH SQUARE 2023:rs.3.rs-3026552. [PMID: 37333108 PMCID: PMC10274950 DOI: 10.21203/rs.3.rs-3026552/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background In-utero exposure to fine particulate matter (PM2.5) and specific sources and components of PM2.5 have been linked with lower birthweight. However, previous results have been mixed, likely due to heterogeneity in sources impacting PM2.5 and due to measurement error from using ambient data. Therefore, we investigated the effect of PM2.5 sources and their high-loading components on birthweight using data from 198 women in the 3rd trimester from the MADRES cohort 48-hour personal PM2.5 exposure monitoring sub-study. Methods The mass contributions of six major sources of personal PM2.5 exposure were estimated for 198 pregnant women in the 3rd trimester using the EPA Positive Matrix Factorization v5.0 model, along with their 17 high-loading chemical components using optical carbon and X-ray fluorescence approaches. Single- and multi-pollutant linear regressions were used to evaluate the association between personal PM2.5 sources and birthweight. Additionally, high-loading components were evaluated with birthweight individually and in models further adjusted for PM2.5 mass. Results Participants were predominately Hispanic (81%), with a mean (SD) gestational age of 39.1 (1.5) weeks and age of 28.2 (6.0) years. Mean birthweight was 3,295.8g (484.1) and mean PM2.5 exposure was 21.3 (14.4) μg/m3. A 1 SD increase in the mass contribution of the fresh sea salt source was associated with a 99.2g decrease in birthweight (95% CI: -197.7, -0.6), while aged sea salt was associated with lower birthweight (β =-70.1; 95% CI: -141.7, 1.4). Magnesium sodium, and chlorine were associated with lower birthweight, which remained after adjusting for PM2.5 mass. Conclusions This study found evidence that major sources of personal PM2.5 including fresh and aged sea salt were negatively associated with birthweight, with the strongest effect on birthweight from Na and Mg. The effect of crustal and fuel oil sources differed by infant sex with negative associations seen in boys compared to positive associations in girls.
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Affiliation(s)
| | - Yan Xu
- University of Southern California
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Huang Y, Gong X, Liu L, Luo L, Leng S, Lin Y. Maternal exposure to metal components of PM2.5 and low birth weight in New Mexico, USA. RESEARCH SQUARE 2023:rs.3.rs-2666605. [PMID: 37034648 PMCID: PMC10081375 DOI: 10.21203/rs.3.rs-2666605/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Infants with low birth weight (LBW) are more likely to have health problems than normal weight infants. In studies examining the associations between particulate matter (PM) exposures and LBW, there is a tendency to focus on PM 2.5 as a whole. However, insufficient information is available regarding the effects of different components of PM 2.5 on birth weight. This study identified the associations between maternal exposure to 10 metal components of PM 2.5 and LBW in offspring based on small area (divided by population size) level data in New Mexico, USA, from 2012 to 2016. This study used a pruned feed-forward neural network (pruned-FNN) approach to estimate the annual average exposure index to each metal component in each small area. The linear regression model was employed to examine the association between maternal PM 2.5 metal exposures and LBW rate in small areas, adjusting for the female percentage and race/ethnicity compositions, marriage status and educational level in the population. An interquartile range increase in maternal exposure to mercury and chromium of PM 2.5 increased LBW rate by 0.43% (95% confidence interval (CI): 0.18%-0.68%) and 0.63% (95% CI: 0.15%-1.12%), respectively. These findings suggest that maternal exposure to metal components of air pollutants may increase the risk of LBW in offspring. With no similar studies in New Mexico, this study also posed great importance because of a higher LBW rate in New Mexico than the national average. These findings provide critical information to inform further epidemiological, biological, and toxicological studies.
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Affiliation(s)
- Yanhong Huang
- The University of New Mexico - Albuquerque: The University of New Mexico
| | | | - Lin Liu
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Li Luo
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Shuguang Leng
- University of New Mexico - Albuquerque: The University of New Mexico
| | - Yan Lin
- University of New Mexico - Albuquerque: The University of New Mexico
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O’Sharkey K, Xu Y, Chavez T, Johnson M, Cabison J, Rosales M, Grubbs B, Toledo-Corral CM, Farzan SF, Bastain T, Breton CV, Habre R. In-utero personal exposure to PM 2.5 impacted by indoor and outdoor sources and birthweight in the MADRES cohort. ENVIRONMENTAL ADVANCES 2022; 9:100257. [PMID: 36778968 PMCID: PMC9912940 DOI: 10.1016/j.envadv.2022.100257] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
BACKGROUND In-utero exposure to outdoor particulate matter with aerodynamic diameter less than 2.5 μm (PM2.5) is linked with low birthweight. However, previous results are mixed, likely due to measurement error introduced by estimating personal exposure from ambient data. This study investigated the effect of total personal PM2.5 exposure on birthweight and whether it differed when it was more heavily impacted by sources of indoor vs outdoor origin in the MADRES cohort study. METHODS Personal PM2.5 exposure was measured in 205 pregnant women in the 3rd trimester using 48 h integrated, filter-based sampling. Linear regression was used to test the association between personal PM2.5 exposure and birthweight, adjusting for key covariates. Interactions of PM2.5 with variables representing indoor sources of PM2.5, home ventilation, or time spent indoors tested whether the effect of total PM2.5 on birthweight varied when it was more impacted by sources of indoor vs outdoor origin. RESULTS In a sample of largely Hispanic (81%) pregnant women, total personal PM2.5 was not significantly associated with birthweight (β = 38.6 per 1SD increase in PM2.5; 95% CI:-21.1, 98.2). This association however, differed by home type (single family home: 156.9 (26.9, 287.0), 2-4 attached units:-16.6 (-111.9, 78.7), 5+ units:-62.6 (-184.9, 59.6), missing: 145.4 (-4.1, 294.9), interaction p = 0.028) and by household air conditioner use (none of the time: -27.6 (-101.5, 46.3) vs. some of the time: 139.9 (42.9, 237.0), interaction p = 0.008) Additionally, the effect of personal PM2.5 on birthweight varied by time spent indoors (none or little of the time: - 45.1 (-208.3, 118.1) vs. most or all of the time: 57.1 (-7.3, 121.6), interaction p = 0.255). CONCLUSIONS While no significant association between total personal PM2.5 exposure and birthweight was found, there was evidence that multi-unit housing (vs. single-family homes), candle and/or incense smoke, and greater outdoor source contributions to personal PM2.5 were more strongly associated with lower birthweight.
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Affiliation(s)
- Karl O’Sharkey
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
| | - Thomas Chavez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Mark Johnson
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Jane Cabison
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Marisela Rosales
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Brendan Grubbs
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Claudia M. Toledo-Corral
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
- Department of Health Sciences, California State University Northridge, Northridge, CA, United States
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Theresa Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2001 N Soto St Rm 102M, Los Angeles, CA 90089, United States
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
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Ahmad WA, Nirel R, Golan R, Jolles M, Kloog I, Rotem R, Negev M, Koren G, Levine H. Mother-level random effect in the association between PM 2.5 and fetal growth: A population-based pregnancy cohort. ENVIRONMENTAL RESEARCH 2022; 210:112974. [PMID: 35192805 DOI: 10.1016/j.envres.2022.112974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 02/02/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND A growing body of literature reports associations between exposure to particulate matter with diameter ≤2.5 μm (PM2.5) during pregnancy and birth outcomes. However, findings are inconsistent across studies. OBJECTIVES To assess the association between PM2.5 and birth outcomes of fetal growth in a cohort with high prevalence of siblings by multilevel models accounting for geographical- and mother-level correlations. METHODS In Israel, we used Maccabi Healthcare Services data to establish a population-based cohort of 381,265 singleton births reaching 24-42 weeks' gestation and birth weight of 500-5000 g (2004-2015). Daily PM2.5 predictions from a satellite-based spatiotemporal model were linked to the date of birth and maternal residence. We generated mean PM2.5 values for the entire pregnancy and for exposure periods during pregnancy. Associations between exposure and birth outcomes were modeled by using multilevel logistic regression with random effects for maternal locality of residence, administrative census area (ACA) and mother. RESULTS In fully adjusted models with a mother-level random intercept only, a 10-μg/m3 increase in PM2.5 over the entire pregnancy was positively associated with term low birth weight (TLBW) (Odds ratio, OR = 1.25, 95% confidence interval, CI: 1.09,1.43) and small for gestational age (SGA) (OR = 1.15, 95% CI: 1.06,1.26). Locality- and ACA-level effects accounted for <0.4% of the variance while mother-level effects explained ∼50% of the variability. Associations varied by exposure period, infants' sex, birth order, and maternal pre-pregnancy BMI. CONCLUSIONS Consideration of mother-level variability in a region with high fertility rates provides new insights on the strength of associations between PM2.5 and birth outcomes.
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Affiliation(s)
| | - Ronit Nirel
- Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rachel Golan
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | | | - Itai Kloog
- Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ran Rotem
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel
| | | | - Gideon Koren
- Institute of Research and Innovation, Maccabitech, Tel-Aviv, Israel; Tel Aviv University, Tel-Aviv, Israel
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Shen Y, Wang C, Yu G, Meng X, Wang W, Kan H, Zhang J, Cai J. Associations of Ambient Fine Particulate Matter and Its Chemical Constituents with Birth Weight for Gestational Age in China: A Nationwide Survey. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8406-8415. [PMID: 35609000 DOI: 10.1021/acs.est.1c08393] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This study examined the associations of fine particulate matter (PM2.5) and its chemical constituents with risks of small for gestational age (SGA) and large for gestational age (LGA). Based on the China Labor and Delivery Survey, we included 70,206 birth records from 24 provinces in China. Concentrations of PM2.5 mass and six main constituents were estimated using satellite-based models. Logistic regression analysis was used to examine the associations, adjusted for sociodemographic characteristics and time trends. We found that an interquartile range increase in PM2.5 exposure during pregnancy was associated with 16% (95% confidence interval [CI]: 3-30%) and 11% (95% CI: 1-22%) higher risk of SGA and LGA, respectively. Elevated risk of SGA was associated with exposure to black carbon [odds ratio (OR) = 1.15, 95% CI: 1.00-1.32], ammonium (OR = 1.12, 95% CI: 1.01-1.25), and sulfate (OR = 1.12, 95% CI: 1.04-1.21); while increased risk of LGA was associated with exposure to black carbon (OR = 1.13, 95% CI: 1.02-1.26), ammonium (OR = 1.13, 95% CI: 1.03-1.24), sulfate (OR = 1.08, 95% CI: 1.01-1.15), and nitrate (OR = 1.14, 95% CI: 1.03-1.27). Our findings provide evidence that PM2.5 exposure was associated with increased risks of SGA and LGA, and constituents related to emissions from anthropogenic sources may play important roles in these associations.
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Affiliation(s)
- Yang Shen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Cuiping Wang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Guoqi Yu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
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He Y, Jiang Y, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Peng Z, Liu C, Wang W, Schikowski T, Li H, Yan B, Ji JS, Chen A, van Donkelaar A, Martin R, Chen R, Kan H, Cai J, Ma X. Composition of fine particulate matter and risk of preterm birth: A nationwide birth cohort study in 336 Chinese cities. JOURNAL OF HAZARDOUS MATERIALS 2022; 425:127645. [PMID: 34920912 DOI: 10.1016/j.jhazmat.2021.127645] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/10/2021] [Accepted: 10/27/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Potential hazards of fine particulate matter (PM2.5) constituents on preterm birth (PTB) have rarely been explored in China. OBJECTIVE To quantify the associations of PM2.5 constituents with PTB. METHODS This study was based on a nationwide cohort of 3,723,169 live singleton births delivered between January 2010 and December 2015 in China. We applied satellite-based estimates of 5 PM2.5 constituents (organic carbon; black carbon; sulfate; ammonium; and nitrate). We used Cox proportional hazards regression models adjusted for individual covariates, temperature, humidity, and seasonality to evaluate the associations. RESULTS During the entire pregnancy, each interquartile range (29 μg/m3) increase in PM2.5 concentrations was associated with a 7% increase in PTB risk [hazard ratio (HR): 1.07; 95% confidence interval (CI): 1.07-1.08). We observed the largest effect estimates on carbonaceous components (HR: 1.09; 95% CI: 1.08-1.10 for organic carbon and black carbon). Early pregnancy appeared to be the critical exposure window for most constituents. Women who were older, exposed to second-hand smoke, overweight or obese before pregnancy, conceived during winter, and living in northern China or rural areas were more susceptible. CONCLUSIONS Carbonaceous components of PM2.5 were associated with higher PTB risk. Findings on characteristics of vulnerability underlined targeted protections on susceptible subgroups.
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Affiliation(s)
- Yuan He
- National Research Institute for Health and Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Ying Yang
- National Research Institute for Health and Family Planning, Beijing, China
| | - Jihong Xu
- National Research Institute for Health and Family Planning, Beijing, China
| | - Ya Zhang
- National Research Institute for Health and Family Planning, Beijing, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Haiping Shen
- National Research Institute for Health and Family Planning, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Health and Family Planning, Beijing, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Tamara Schikowski
- Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Beizhan Yan
- Division of Geochemistry, Lamont-Doherty Earth Observatory of Columbia University, Palisades, New York, USA
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, USA
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Randall Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
| | - Xu Ma
- National Research Institute for Health and Family Planning, Beijing, China; National Human Genetic Resources Center, Beijing, China.
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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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10
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Comess S, Donovan G, Gatziolis D, Deziel NC. Exposure to atmospheric metals using moss bioindicators and neonatal health outcomes in Portland, Oregon. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 284:117343. [PMID: 34030082 DOI: 10.1016/j.envpol.2021.117343] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/07/2021] [Accepted: 05/07/2021] [Indexed: 06/12/2023]
Abstract
Studying the impacts of prenatal atmospheric heavy-metal exposure is challenging, because biological exposure monitoring does not distinguish between specific sources, and high-resolution air monitoring data is lacking for heavy metals. Bioindicators - animal or plant species that can capture environmental quality - are a low-cost tool for evaluating exposure to atmospheric heavy-metal pollution that have received little attention in the public-health literature. We obtained birth records for Portland, Oregon live births (2008-2014) and modeled metal concentrations derived from 346 samples of moss bioindicators collected in 2013. Exposure estimates were assigned using mother's residential address at birth for six metals with known toxic and estrogenic effects (arsenic, cadmium, chromium, cobalt, nickel, lead). Associations were evaluated for continuous (cts) and quartile-based (Q) metal estimates and three birth outcomes (preterm birth (PTB; <37 weeks)), very PTB (vPTB; <32 weeks), small for gestational age (SGA; 10th percentile of weight by age and sex)) using logistic regression models with adjustment for demographic characteristics, and stratified by maternal race. Chromium and cobalt were associated with increased odds of vPTB (chromium - odds ratio (OR)cts = 1.09, 95% CI: 1.00, 1.17; cobalt - ORQ4vsQ1 = 1.33, 95% CI: 1.03, 1.71). Cobalt, chromium and cadmium were significantly associated with odds of SGA, although the direction of association differed by metal (cobalt - ORcts = 1.04, 95% CI: 1.01, 1.07; chromium - ORQ3vsQ1 = 0.91, 95% CI: 0.83, 0.99; cadmium - ORcts = 0.96, 95% CI: 0.93, 1.00). In stratified analyses, odds of SGA were significantly different among non-white mothers compared to white mothers with exposure to chromium, cobalt, lead and nickel. This novel application of a moss-based exposure metric found that exposure to some atmospheric metals is associated with adverse birth outcomes. These findings are consistent with previous literature and suggest that moss bioindicators are a useful complement to traditional exposure-assessment methods.
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Affiliation(s)
- Saskia Comess
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Geoffrey Donovan
- USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA.
| | - Demetrios Gatziolis
- USDA Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA
| | - Nicole C Deziel
- Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
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11
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Chen J, Fang J, Zhang Y, Xu Z, Byun HM, Li PH, Deng F, Guo X, Guo L, Wu S. Associations of adverse pregnancy outcomes with high ambient air pollution exposure: Results from the Project ELEFANT. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:143218. [PMID: 33190892 DOI: 10.1016/j.scitotenv.2020.143218] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/18/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND Investigations on the potential effects of high air pollution exposure before pregnancy on adverse pregnancy outcomes are limited, and it is unknown whether air quality standards looser than that set by World Health Organization (WHO) still can provide sufficient protection pregnant women from adverse pregnancy outcomes. OBJECTIVES To evaluate the potential effects of high ambient air pollution around pregnancy on preterm birth (PTB) and low birth weight (LBW), and assess the risk of PTB and LBW associated with air pollutants with reference to different air quality standards of WHO and China. METHODS Our study leveraged 10,960 pregnant women from the Project ELEFANT. Daily average particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) and ≤10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) concentrations were collected based on Chinese Air Quality Reanalysis datasets. Hazard ratios (HR) of PTB and LBW were estimated for maternal PM2.5, PM10, NO2, SO2, CO and O3 exposures and related proportions of days with daily average air pollution concentrations exceeding air quality standards of WHO and China around pregnancy using Cox proportional hazards regression models with adjustment for potential confounders. RESULTS Ambient PM2.5, PM10, NO2, SO2 and CO exposure during the before pregnancy and pregnancy period were both significantly and positively associated with increased risk of PTB, PTB subtypes and LBW. A 10% increase in proportion of days with daily average PM2.5 exceeding 25 μg/m3 over the entire pregnancy was most apparently associated with risk of PTB (HR, 12.66; 95% CI, 8.20-19.53) and LBW (HR, 17.42; 95% CI, 6.88-44.10) among all PM2.5 proportion variables based on different air quality standards. CONCLUSION Air quality standards of WHO are necessary to be implemented to control for risks of adverse pregnancy outcomes associated with ambient air pollution in areas with high air pollution levels.
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Affiliation(s)
- Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Junkai Fang
- Tianjin Institute of Medical & Pharmaceutical Sciences, Tianjin, China
| | - Ying Zhang
- Medical Genetic Laboratory, Department of Obstetrics and Gynecology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhouyang Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Hyang-Min Byun
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Peng-Hui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Liqiong Guo
- Institute of Disaster Medicine, Tianjin University, Tianjin, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China; Key Laboratory of Molecular Cardiovascular Sciences, Peking University, Ministry of Education, China.
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12
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Cai J, Zhao Y, Kan J, Chen R, Martin R, van Donkelaar A, Ao J, Zhang J, Kan H, Hua J. Prenatal Exposure to Specific PM 2.5 Chemical Constituents and Preterm Birth in China: A Nationwide Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14494-14501. [PMID: 33146526 DOI: 10.1021/acs.est.0c02373] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Exposure to fine particulate matter (PM2.5) during pregnancy has been associated with preterm birth (PTB). However, the existing evidence is inconsistent, and the roles of specific PM2.5 chemical constituents remain unclear. Based on the China Labor and Delivery Survey, we included birth data from 89 hospitals in 25 provinces in mainland China, and conducted a national multicenter cohort study to examine the associations of PM2.5 and its chemical constituents with PTB risk in China. We applied satellite-based models to predict prenatal PM2.5 mass and six main component exposure. Multilevel logistic regression analysis was used to examine the associations, controlling for sociodemographic characteristics, seasonality, and spatial variation. We observe an increased PTB risk with an increase in PM2.5 mass and the most significant association is found during the third trimester when the adjusted odds ratio (OR) per interquartile range increases in PM2.5 total mass is 1.12 (95% confidence Interval, CI: 1.05-1.20). Infants conceived by assisted reproductive technology (ART) show greater PTB risk associated with PM2.5 exposure (OR = 1.33, 95% CI: 1.05-1.69) than those conceived naturally (OR = 1.11, 95% CI: 1.03-1.19). We also find black carbon, sulfate, ammonium and nitrate, often linked to fossil combustion, have comparable or larger estimates of the effect (OR = 1.07-1.14) than PM2.5. Our findings provide evidence that components mainly from fossil fuel combustion may have a perceptible influence on increased PTB risk associated with PM2.5 exposure in China. Additionally, compared to natural conception, conception through ART may be more susceptible to PM2.5 exposure.
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Affiliation(s)
- Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
- Shanghai Key Laboratory of Meteorology and Health, Shanghai Typhoon Institute/CMA, Shanghai 200030, China
| | - Yan Zhao
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 201204, China
| | - Julia Kan
- University of Bristol Medical School, Bristol BS8 1TH, U.K
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Randall Martin
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
- Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts 02138, United States
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
| | - Junjie Ao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200096, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200096, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
- National Center for Children's Health, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Jing Hua
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai 201204, China
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13
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Crouse DL, Erickson AC, Christidis T, Pinault L, van Donkelaar A, Li C, Meng J, Martin RV, Tjepkema M, Hystad P, Burnett R, Pappin A, Brauer M, Weichenthal S. Evaluating the Sensitivity of PM2.5–Mortality Associations to the Spatial and Temporal Scale of Exposure Assessment. Epidemiology 2020; 31:168-176. [DOI: 10.1097/ede.0000000000001136] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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14
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Heo S, Fong KC, Bell ML. Risk of particulate matter on birth outcomes in relation to maternal socio-economic factors: a systematic review. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2019; 14. [PMID: 34108997 PMCID: PMC8186490 DOI: 10.1088/1748-9326/ab4cd0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
A growing number of studies provide evidence of an association between exposure to maternal air pollution during pregnancy and adverse birth outcomes including low birth weight and preterm birth. Prevention of these health effects of air pollution is critical to reducing the adverse infant outcomes, which can have impacts throughout the life course. However, there is no consensus on whether the association between air pollution exposure and birth outcomes varies by maternal risk factors including demographic characteristics and socio-economic status. Such information is vital to understand potential environmental health disparities. Our search found 859 unique studies, of which 45 studies met our inclusion criteria (Jan. 2000- July. 2019). We systematically reviewed the 45 identified epidemiologic studies and summarized the results on effect modifications by maternal race/ethnicity, educational attainment, income, and area-level socio-economic status. We considered adverse birth outcomes of preterm birth, low birth weight, small for gestational age (SGA), and stillbirth. Suggestive evidence of higher risk of particulate matter in infants of African-American/black mothers than infants of other women was found for preterm birth and low birth weight. We found weak evidence that particulate matter risk was higher for infants of mothers with lower educational attainment for preterm birth and low birth weight. Due to the small study numbers, we were unable to conclude whether effect modification is present for income, occupation, and area-level socio-economic status, and additional research is needed. Furthermore, adverse birth outcomes such as SGA and stillbirth need more study to understand potential environmental justice issues regarding the impact of particulate matter exposure during pregnancy on birth outcomes.
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Affiliation(s)
- Seulkee Heo
- School of Forestry and Environmental Studies, Yale University
| | - Kelvin C Fong
- School of Forestry and Environmental Studies, Yale University
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University
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15
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Brauer M, Brook JR, Christidis T, Chu Y, Crouse DL, Erickson A, Hystad P, Li C, Martin RV, Meng J, Pappin AJ, Pinault LL, Tjepkema M, van Donkelaar A, Weichenthal S, Burnett RT. Mortality-Air Pollution Associations in Low-Exposure Environments (MAPLE): Phase 1. Res Rep Health Eff Inst 2019; 2019:1-87. [PMID: 31909580 PMCID: PMC7334864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023] Open
Abstract
INTRODUCTION Fine particulate matter (particulate matter ≤2.5 μm in aerodynamic diameter, or PM2.5) is associated with mortality, but the lower range of relevant concentrations is unknown. Novel satellite-derived estimates of outdoor PM2.5 concentrations were applied to several large population-based cohorts, and the shape of the relationship with nonaccidental mortality was characterized, with emphasis on the low concentrations (<12 μg/m3) observed throughout Canada. METHODS Annual satellite-derived estimates of outdoor PM2.5 concentrations were developed at 1-km2 spatial resolution across Canada for 2000-2016 and backcasted to 1981 using remote sensing, chemical transport models, and ground monitoring data. Targeted ground-based measurements were conducted to measure the relationship between columnar aerosol optical depth (AOD) and ground-level PM2.5. Both existing and targeted ground-based measurements were analyzed to develop improved exposure data sets for subsequent epidemiological analyses. Residential histories derived from annual tax records were used to estimate PM2.5 exposures for subjects whose ages ranged from 25 to 90 years. About 8.5 million were from three Canadian Census Health and Environment Cohort (CanCHEC) analytic files and another 540,900 were Canadian Community Health Survey (CCHS) participants. Mortality was linked through the year 2016. Hazard ratios (HR) were estimated with Cox Proportional Hazard models using a 3-year moving average exposure with a 1-year lag, with the year of follow-up as the time axis. All models were stratified by 5-year age groups, sex, and immigrant status. Covariates were based on directed acyclical graphs (DAG), and included contextual variables (airshed, community size, neighborhood dependence, neighborhood deprivation, ethnic concentration, neighborhood instability, and urban form). A second model was examined including the DAG-based covariates as well as all subject-level risk factors (income, education, marital status, indigenous identity, employment status, occupational class, and visible minority status) available in each cohort. Additional subject-level behavioral covariates (fruit and vegetable consumption, leisure exercise frequency, alcohol consumption, smoking, and body mass index [BMI]) were included in the CCHS analysis. Sensitivity analyses evaluated adjustment for covariates and gaseous copollutants (nitrogen dioxide [NO2] and ozone [O3]), as well as exposure time windows and spatial scales. Estimates were evaluated across strata of age, sex, and immigrant status. The shape of the PM2.5-mortality association was examined by first fitting restricted cubic splines (RCS) with a large number of knots and then fitting the shape-constrained health impact function (SCHIF) to the RCS predictions and their standard errors (SE). This method provides graphical results indicating the RCS predictions, as a nonparametric means of characterizing the concentration-response relationship in detail and the resulting mean SCHIF and accompanying uncertainty as a parametric summary. Sensitivity analyses were conducted in the CCHS cohort to evaluate the potential influence of unmeasured covariates on air pollution risk estimates. Specifically, survival models with all available risk factors were fit and compared with models that omitted covariates not available in the CanCHEC cohorts. In addition, the PM2.5 risk estimate in the CanCHEC cohort was indirectly adjusted for multiple individual-level risk factors by estimating the association between PM2.5 and these covariates within the CCHS. RESULTS Satellite-derived PM2.5 estimates were low and highly correlated with ground monitors. HR estimates (per 10-μg/m3 increase in PM2.5) were similar for the 1991 (1.041, 95% confidence interval [CI]: 1.016-1.066) and 1996 (1.041, 1.024-1.059) CanCHEC cohorts with a larger estimate observed for the 2001 cohort (1.084, 1.060-1.108). The pooled cohort HR estimate was 1.053 (1.041-1.065). In the CCHS an analogous model indicated a HR of 1.13 (95% CI: 1.06-1.21), which was reduced slightly with the addition of behavioral covariates (1.11, 1.04-1.18). In each of the CanCHEC cohorts, the RCS increased rapidly over lower concentrations, slightly declining between the 25th and 75th percentiles and then increasing beyond the 75th percentile. The steepness of the increase in the RCS over lower concentrations diminished as the cohort start date increased. The SCHIFs displayed a supralinear association in each of the three CanCHEC cohorts and in the CCHS cohort. In sensitivity analyses conducted with the 2001 CanCHEC, longer moving averages (1, 3, and 8 years) and smaller spatial scales (1 km2 vs. 10 km2) of exposure assignment resulted in larger associations between PM2.5 and mortality. In both the CCHS and CanCHEC analyses, the relationship between nonaccidental mortality and PM2.5 was attenuated when O3 or a weighted measure of oxidant gases was included in models. In the CCHS analysis, but not in CanCHEC, PM2.5 HRs were also attenuated by the inclusion of NO2. Application of the indirect adjustment and comparisons within the CCHS analysis suggests that missing data on behavioral risk factors for mortality had little impact on the magnitude of PM2.5-mortality associations. While immigrants displayed improved overall survival compared with those born in Canada, their sensitivity to PM2.5 was similar to or larger than that for nonimmigrants, with differences between immigrants and nonimmigrants decreasing in the more recent cohorts. CONCLUSIONS In several large population-based cohorts exposed to low levels of air pollution, consistent associations were observed between PM2.5 and nonaccidental mortality for concentrations as low as 5 μg/m3. This relationship was supralinear with no apparent threshold or sublinear association.
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Affiliation(s)
- M Brauer
- University of British Columbia, Vancouver, British Columbia, Canada
| | - J R Brook
- University of Toronto, Toronto, Ontario, Canada
| | - T Christidis
- Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada
| | - Y Chu
- University of British Columbia, Vancouver, British Columbia, Canada
| | - D L Crouse
- University of New Brunswick, Fredericton, New Brunswick, Canada
- New Brunswick Institute for Research, Data, and Training, Fredericton, New Brunswick, Canada
| | - A Erickson
- University of British Columbia, Vancouver, British Columbia, Canada
| | - P Hystad
- Oregon State University, Corvallis, Oregon, U.S.A
| | - C Li
- Dalhousie University, Halifax, Nova Scotia, Canada
| | - R V Martin
- Dalhousie University, Halifax, Nova Scotia, Canada
- Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, U.S.A
| | - J Meng
- Dalhousie University, Halifax, Nova Scotia, Canada
| | - A J Pappin
- Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada
| | - L L Pinault
- Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada
| | - M Tjepkema
- Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada
| | | | | | - R T Burnett
- Population Studies Division, Health Canada, Ottawa, Ontario, Canada
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16
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Rammah A, Whitworth KW, Han I, Chan W, Symanski E. PM 2.5 metal constituent exposure and stillbirth risk in Harris County, Texas. ENVIRONMENTAL RESEARCH 2019; 176:108516. [PMID: 31195296 DOI: 10.1016/j.envres.2019.05.047] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/17/2019] [Accepted: 05/30/2019] [Indexed: 06/09/2023]
Abstract
There is limited evidence on the role of exposure to chemical constituents of fine particulate matter (PM2.5) in risk for stillbirth. Thus, we conducted a case-control study in Harris County, Texas between 2008 and 2013, utilizing a 6:1 ratio of controls to individually matched cases. We linked birth and fetal death records with PM2.5 data from a single air monitoring station and estimated maternal exposures to metal constituents of PM2.5 over the risk period (defined by the gestational length of each case). We applied conditional logistic regression and modeled air pollutant exposures as continuous variables. We observed null associations for most metal constituents (Al, Cr, Cu, Fe, Pb, Mn, Ni, Se and Ti). However, we observed a modest increase in risk for stillbirth (adjusted odds ratio (OR) = 1.11, 95% confidence interval (CI): 1.02, 1.20) associated with a 0.007 μg/m3 interquartile range (IQR) increase in exposure to zinc (Zn) PM2.5. This study adds to the scarce literature evaluating associations between PM2.5 metal constituents and stillbirth and points to the need for further research in this area.
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Affiliation(s)
- Amal Rammah
- Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA; Southwest Center for Occupational and Environmental Health (SWCOEH), UTHealth School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA
| | - Kristina W Whitworth
- Southwest Center for Occupational and Environmental Health (SWCOEH), UTHealth School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA; Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health in San Antonio, 7411 John Smith Drive, San Antonio, TX, 78229, USA
| | - Inkyu Han
- Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA; Southwest Center for Occupational and Environmental Health (SWCOEH), UTHealth School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, UTHealth School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA
| | - Elaine Symanski
- Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA; Southwest Center for Occupational and Environmental Health (SWCOEH), UTHealth School of Public Health, 1200 Herman Pressler Street, Houston, TX, 77030, USA.
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17
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Fong KC, Di Q, Kloog I, Laden F, Coull BA, Koutrakis P, Schwartz JD. Relative toxicities of major particulate matter constituents on birthweight in Massachusetts. Environ Epidemiol 2019; 3:e047. [PMID: 31342007 PMCID: PMC6571180 DOI: 10.1097/ee9.0000000000000047] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 03/13/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Maternal exposure to fine particulate air pollution (PM2.5) during pregnancy has been linked to lower newborn birthweight, making it a toxic exposure because lower birthweight is a risk factor for chronic disease and mortality. However, the toxicity of major constituents of PM2.5 and how they compare to each other remain uncertain. METHODS We assigned address-specific exposure to PM2.5, elemental carbon (EC), organic carbon (OC), nitrate, and sulfate averaged over the entire period of pregnancy for each birth in Massachusetts from 2001 to 2012 using a high-resolution exposure model. Using multivariate regression adjusted for total PM2.5, we estimated the relative toxicity of each constituent on continuous birthweight. RESULTS EC was more toxic per interquartile range increase compared with remaining PM2.5 in single constituent models that estimated the effect of a constituent with adjustment for PM2.5. OC, nitrate, and sulfate were each less toxic than their respective remaining PM2.5 per interquartile range increase. When all constituents and total PM2.5 were included in the same model, EC was most toxic, followed by nitrate, then OC and sulfate with similar toxicities. Sensitivity analyses using term low birth weight and small for gestational age also showed that EC was most detrimental as did averaging exposures over the third trimester of pregnancy. Scaling to unit mass increases also showed EC to be most toxic. CONCLUSION Four major constituents of PM2.5 had different relative toxicities on continuous birthweight. Our findings suggest that EC was most toxic, followed by nitrate, OC, and sulfate.
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Affiliation(s)
- Kelvin C. Fong
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- School of Forestry and Environmental Studies, Yale University, New Haven, CT
| | - Qian Di
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA
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Wu XM, Broadwin R, Basu R, Malig B, Ebisu K, Gold EB, Qi L, Derby C, Park SK, Green S. Associations between fine particulate matter and changes in lipids/lipoproteins among midlife women. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 654:1179-1186. [PMID: 30841392 PMCID: PMC6413864 DOI: 10.1016/j.scitotenv.2018.11.149] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 11/09/2018] [Accepted: 11/10/2018] [Indexed: 05/30/2023]
Abstract
Fine particles (PM2.5) are known to increase risks of cardiovascular diseases, but it is unclear how they affect plasma lipid levels. In this study, we examined the associations between PM2.5 exposure and lipid/lipoprotein levels from 2289 midlife women enrolled in the longitudinal Study of Women's Health Across the Nation. The average exposure to PM2.5 and gaseous co-pollutants during the prior one year, six months, 30 days, and one day were estimated for each woman based on U.S. Environmental Protection Agency ambient monitoring data. Blood samples were collected annually from 1999 to 2005 and analyzed for lipids/lipoproteins. Mixed-effect models were used to account for repeated measures for each woman, adjusted for demographic, health and behavior covariates. PM2.5 exposures, especially the long-term exposure, were negatively associated with protective lipoproteins, and positively associated with atherogenic lipoproteins. For example, each 3 μg/m3 increase of one-year PM2.5 exposure was associated with decreases of -0.7% (-1.4%, -0.1%) in high-density lipoprotein cholesterols and -0.6% (-1.1%, -0.1%) in apolipoprotein A1 (ApoA1), as well as increases of 3.8% (1.0%, 6.6%) in lipoprotein(a) and 1.4% (0.5%, 2.3%) in the ratio of apolipoprotein B (ApoB)/ApoA1. In stratified analysis, increased atherogenic lipoproteins were mainly observed in women without dyslipidemia, and both increased atherogenic lipoproteins and reduced protective lipoproteins were observed among women in perimenopause. In summary, PM2.5 exposure was associated with adverse lipid level changes, and thus, may increase cardiovascular risks in midlife women.
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Affiliation(s)
- Xiangmei May Wu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Rachel Broadwin
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Rupa Basu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Brian Malig
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Keita Ebisu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Ellen B Gold
- Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA.
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA.
| | - Carol Derby
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Sung Kyun Park
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - Shelley Green
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
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19
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Enders C, Pearson D, Harley K, Ebisu K. Exposure to coarse particulate matter during gestation and term low birthweight in California: Variation in exposure and risk across region and socioeconomic subgroup. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 653:1435-1444. [PMID: 30759582 DOI: 10.1016/j.scitotenv.2018.10.323] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 08/24/2018] [Accepted: 10/24/2018] [Indexed: 05/12/2023]
Abstract
Despite evidence that particulate matter with an aerodynamic diameter ≤10 μm (PM10) or ≤2.5 μm (PM2.5) are associated with several adverse birth outcomes, research on the association between coarse particulate matter (PM10-2.5) and birth outcomes is scarce, and results have been inconsistent. Furthermore, the literature is unclear whether associations between PM10 and adverse birth outcomes were driven by PM2.5 alone or also by PM10-2.5 exposure. Research on the variation in exposure to and risk from PM10-2.5 across populations is also needed to identify potentially vulnerable subgroups. We used birth certificate and ambient air monitoring data in California from 2002 to 2013 to develop a retrospective cohort study of pregnant women and their infants. Averaged gestational and trimester-specific exposures of PM10-2.5 and PM2.5 were calculated for mothers whose residential zip code tabulation areas were within a 20 km radius of monitors. We assessed the relationship between prenatal exposure to PM10-2.5 and term low birthweight (TLBW) using logistic and linear regression, adjusting for maternal and paternal demographic, environmental, temporal, and health-related covariates. We also conducted analyses stratified by socioeconomic characteristics and regions. We found a relationship between PM10-2.5 exposure during pregnancy and TLBW after controlling for PM2.5 exposure: odds ratio for second quartile of exposure: 1.00 (95% confidence interval: 0.98, 1.03), third quartile: 1.03 (1.00, 1.06), fourth quartile: 1.04 (1.01, 1.07), compared to the first quartile. Associations were strong among Non-Hispanic Black mothers, mothers living in the Central Valley, and fathers without a college degree. Exposure to and risk from PM10-2.5 were heterogeneous across California indicating environmental justice implications. We also found that paternal characteristics were associated with the risk of TLBW even after controlling for maternal characteristics. In addition to PM10-2.5 total mass, further research is needed on the components of PM10-2.5 which may be driving these associations.
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Affiliation(s)
- Catherine Enders
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA; School of Public Health, University of California, Berkeley, 50 University Hall, #7360, Berkeley, CA 94720, USA
| | - Dharshani Pearson
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA
| | - Kim Harley
- School of Public Health, University of California, Berkeley, 50 University Hall, #7360, Berkeley, CA 94720, USA
| | - Keita Ebisu
- Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA.
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20
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Klepac P, Locatelli I, Korošec S, Künzli N, Kukec A. Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges. ENVIRONMENTAL RESEARCH 2018; 167:144-159. [PMID: 30014896 DOI: 10.1016/j.envres.2018.07.008] [Citation(s) in RCA: 211] [Impact Index Per Article: 35.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 05/19/2023]
Abstract
There is a growing number of studies on the association between ambient air pollution and adverse pregnancy outcomes, but their results have been inconsistent. Consequently, a comprehensive review of this research area is needed. There was a wide variability in studied pregnancy outcomes, observed gestational windows of exposure, observed ambient air pollutants, applied exposure assessment methods and statistical analysis methods Gestational duration, preterm birth, (low) birth weight, and small for gestational age/intrauterine growth restriction were most commonly investigated pregnancy outcomes. Gestational windows of exposure typically included were whole pregnancy period, 1st, 2nd, 3rd trimester, first and last gestational months. Preterm birth was the outcome most extensively studied across various gestational windows, especially at the beginning and at the end of pregnancy. Particulate matter, nitrogen dioxide, ozone, and carbon monoxide were the most commonly used markers of ambient air pollution. Continuous monitoring data were frequently combined with spatially more precisely modelled estimates of exposure. Exposure to particulate matter and ozone over the entire pregnancy was significantly associated with higher risk for preterm birth: the pooled effect estimates were 1.09 (1.03-1.16) per 10 μg/m3 increase in particulate matter with an aerodynamic diameter of 10 µm or less (PM10),1.24 (1.08-1.41) per 10 μg/m3 increase in particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2.5), and 1.03 (1.01-1.04) per 10 ppb increase in ozone. For pregnancy outcomes other than PTB, ranges of observed effect estimates were reported due to smaller number of studies included in each gestational window of exposure. Further research is needed to link the routine pregnancy outcome data with spatially and temporally resolved ambient air pollution data, while adjusting for commonly defined confounders. Methods for assessing exposure to mixtures of pollutants, indoor air pollution exposure, and various other environmental exposures, need to be developed.
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Affiliation(s)
- Petra Klepac
- National institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia.
| | - Igor Locatelli
- University of Ljubljana, Faculty of Pharmacy, Aškerčeva 7, 1000 Ljubljana, Slovenia.
| | - Sara Korošec
- Department of Obstetrics and Gynecology, Reproductive Unit, University Medical Centre Ljubljana, Zaloška 3, 1525 Ljubljana, Slovenia.
| | - Nino Künzli
- Swiss Tropical and Public Health Institute (SwissTPH), Socinstrasse 57, 4002 Basel, Switzerland; University of Basel, Petersplatz 1, 4001 Basel, Switzerland.
| | - Andreja Kukec
- National institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia; University of Ljubljana, Faculty of Medicine, Vrazov trg 2, 1000 Ljubljana, Slovenia.
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21
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Heft-Neal S, Burney J, Bendavid E, Burke M. Robust relationship between air quality and infant mortality in Africa. Nature 2018; 559:254-258. [PMID: 29950722 DOI: 10.1038/s41586-018-0263-3] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 05/23/2018] [Indexed: 12/23/2022]
Abstract
Poor air quality is thought to be an important mortality risk factor globally1-3, but there is little direct evidence from the developing world on how mortality risk varies with changing exposure to ambient particulate matter. Current global estimates apply exposure-response relationships that have been derived mostly from wealthy, mid-latitude countries to spatial population data4, and these estimates remain unvalidated across large portions of the globe. Here we combine household survey-based information on the location and timing of nearly 1 million births across sub-Saharan Africa with satellite-based estimates5 of exposure to ambient respirable particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) to estimate the impact of air quality on mortality rates among infants in Africa. We find that a 10 μg m-3 increase in PM2.5 concentration is associated with a 9% (95% confidence interval, 4-14%) rise in infant mortality across the dataset. This effect has not declined over the last 15 years and does not diminish with higher levels of household wealth. Our estimates suggest that PM2.5 concentrations above minimum exposure levels were responsible for 22% (95% confidence interval, 9-35%) of infant deaths in our 30 study countries and led to 449,000 (95% confidence interval, 194,000-709,000) additional deaths of infants in 2015, an estimate that is more than three times higher than existing estimates that attribute death of infants to poor air quality for these countries2,6. Upward revision of disease-burden estimates in the studied countries in Africa alone would result in a doubling of current estimates of global deaths of infants that are associated with air pollution, and modest reductions in African PM2.5 exposures are predicted to have health benefits to infants that are larger than most known health interventions.
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Affiliation(s)
- Sam Heft-Neal
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA
| | - Jennifer Burney
- School of Global Policy and Strategy, University of California, San Diego, San Diego, CA, USA
| | - Eran Bendavid
- School of Medicine, Stanford University, Stanford, CA, USA
| | - Marshall Burke
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA. .,Department of Earth System Science, Stanford University, Stanford, CA, USA. .,National Bureau of Economic Research, Cambridge, MA, USA.
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22
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Ebisu K, Malig B, Hasheminassab S, Sioutas C, Basu R. Cause-specific stillbirth and exposure to chemical constituents and sources of fine particulate matter. ENVIRONMENTAL RESEARCH 2018; 160:358-364. [PMID: 29055831 DOI: 10.1016/j.envres.2017.10.015] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 10/05/2017] [Accepted: 10/07/2017] [Indexed: 06/07/2023]
Abstract
The stillbirth rate in the United States is relatively high, but limited evidence is available linking stillbirth with fine particulate matter (PM2.5), its chemical constituents and sources. In this study, we explored associations between cause-specific stillbirth and prenatal exposures to those pollutants with using live birth and stillbirth records from eight California locations during 2002-2009. ICD-10 codes were used to identify cause of stillbirth from stillbirth records. PM2.5 total mass and chemical constituents were collected from ambient monitors and PM2.5 sources were quantified using Positive Matrix Factorization. Conditional logistic regression was applied using a nested case-control study design (N = 32,262). We found that different causes of stillbirth were associated with different PM2.5 sources and/or chemical constituents. For stillbirths due to fetal growth, the odds ratio (OR) per interquartile range increase in gestational age-adjusted exposure to PM2.5 total mass was 1.23 (95% confidence interval (CI): 1.06, 1.44). Similar associations were found with resuspended soil (OR=1.25, 95% CI: 1.10, 1.42), and secondary ammonium sulfate (OR=1.45, 95% CI: 1.18, 1.78). No associations were found between any pollutants and stillbirths caused by maternal complications. This study highlighted the importance of investigating cause-specific stillbirth and the differential toxicity levels of specific PM2.5 sources and chemical constituents.
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Affiliation(s)
- Keita Ebisu
- Office of Environmental Health Hazard Assessment, California EPA, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA.
| | - Brian Malig
- Office of Environmental Health Hazard Assessment, California EPA, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA
| | - Sina Hasheminassab
- Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, CA 90089, USA
| | - Constantinos Sioutas
- Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, CA 90089, USA
| | - Rupa Basu
- Office of Environmental Health Hazard Assessment, California EPA, 1515 Clay Street, 16th floor, Oakland, CA 94612, USA
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23
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Wilson A, Chiu YHM, Hsu HHL, Wright RO, Wright RJ, Coull BA. Potential for Bias When Estimating Critical Windows for Air Pollution in Children's Health. Am J Epidemiol 2017; 186:1281-1289. [PMID: 29206986 PMCID: PMC5860147 DOI: 10.1093/aje/kwx184] [Citation(s) in RCA: 160] [Impact Index Per Article: 22.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 01/24/2017] [Accepted: 01/24/2017] [Indexed: 11/13/2022] Open
Abstract
Evidence supports an association between maternal exposure to air pollution during pregnancy and children's health outcomes. Recent interest has focused on identifying critical windows of vulnerability. An analysis based on a distributed lag model (DLM) can yield estimates of a critical window that are different from those from an analysis that regresses the outcome on each of the 3 trimester-average exposures (TAEs). Using a simulation study, we assessed bias in estimates of critical windows obtained using 3 regression approaches: 1) 3 separate models to estimate the association with each of the 3 TAEs; 2) a single model to jointly estimate the association between the outcome and all 3 TAEs; and 3) a DLM. We used weekly fine-particulate-matter exposure data for 238 births in a birth cohort in and around Boston, Massachusetts, and a simulated outcome and time-varying exposure effect. Estimates using separate models for each TAE were biased and identified incorrect windows. This bias arose from seasonal trends in particulate matter that induced correlation between TAEs. Including all TAEs in a single model reduced bias. DLM produced unbiased estimates and added flexibility to identify windows. Analysis of body mass index z score and fat mass in the same cohort highlighted inconsistent estimates from the 3 methods.
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Affiliation(s)
- Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, Colorado
| | - Yueh-Hsiu Mathilda Chiu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Kravis Children’s Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Kravis Children’s Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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24
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Pereira G, Lee HJ, Bell M, Regan A, Malacova E, Mullins B, Knibbs LD. Development of a model for particulate matter pollution in Australia with implications for other satellite-based models. ENVIRONMENTAL RESEARCH 2017; 159:9-15. [PMID: 28759784 DOI: 10.1016/j.envres.2017.07.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 06/28/2017] [Accepted: 07/25/2017] [Indexed: 06/07/2023]
Abstract
Estimating exposure to particulate matter (PM10) air pollution concentrations in Australia is challenging due to relatively few monitoring sites relative to the geographic distribution of the population. We modelled daily ground-level PM10 concentrations for the period 2006-2011 for Australia using linear mixed models with satellite remote-sensed AOD, land-use and geographical variables as predictors. The variation in daily PM10 explained by the model was 51% for Australia overall, and ranged from 51% for Tasmania to 78% for South Australia. Cross-validation indicated that the models were most suitable for prediction in New South Wales and Victoria and least suitable for prediction in Western Australia, the Australian Capital Territory and Tasmania. Most of the variation in PM10 concentrations was explained by temporal rather than spatial variation. The inclusion of AOD and other predictors did not substantially improve model performance. Temporal models were sufficient to account for daily PM10 variation recorded by statutory monitors.
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Affiliation(s)
- Gavin Pereira
- School of Public Health, Curtin University, WA, Australia.
| | | | - Michelle Bell
- School of Forestry and Environmental Studies, Yale University, CT, USA
| | - Annette Regan
- School of Public Health, Curtin University, WA, Australia
| | - Eva Malacova
- School of Public Health, Curtin University, WA, Australia
| | - Ben Mullins
- School of Public Health, Curtin University, WA, Australia
| | - Luke D Knibbs
- School of Population Health, University of Queensland, Qld, Australia
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25
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Wu XM, Basu R, Malig B, Broadwin R, Ebisu K, Gold EB, Qi L, Derby C, Green RS. Association between gaseous air pollutants and inflammatory, hemostatic and lipid markers in a cohort of midlife women. ENVIRONMENT INTERNATIONAL 2017; 107:131-139. [PMID: 28732305 PMCID: PMC5584622 DOI: 10.1016/j.envint.2017.07.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 07/10/2017] [Accepted: 07/11/2017] [Indexed: 05/04/2023]
Abstract
BACKGROUND Exposures to ambient gaseous pollutants have been linked to cardiovascular diseases (CVDs), but the biological mechanisms remain uncertain. OBJECTIVES This study examined the changes in CVD marker levels resulting from elevated exposure to ambient gaseous pollutants in midlife women. METHODS Annual repeated measurements of several inflammatory, hemostatic and lipid makers were obtained from 2306 midlife women enrolled in the longitudinal Study of Women's Health Across the Nation (SWAN) between 1999 and 2004. Ambient carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) data were assigned to each woman based on proximity of the monitoring station to her residential address. Short- and long-term exposures were calculated, and their associations with markers were examined using linear mixed-effects regression models, adjusted for demographic, health and other factors. RESULTS Short-term CO exposure was associated with increased fibrinogen, i.e., every interquartile increase of average prior one-week exposure to CO was associated with 1.3% (95% CI: 0.6%, 2.0%) increase in fibrinogen. Long-term exposures to NO2 and SO2 were associated with reduced high-density lipoproteins and apolipoprotein A1, e.g., 4.0% (1.7%, 6.3%) and 4.7% (2.8%, 6.6%) decrease per interquartile increment in prior one-year average NO2 concentration, respectively. Fine particle (PM2.5) exposure confounded associations between CO/NO2 and inflammatory/hemostatic markers, while associations with lipoproteins were generally robust to PM2.5 adjustment. CONCLUSIONS Exposures to these gas pollutants at current ambient levels may increase thrombotic potential and disrupt cholesterol metabolism, contributing to greater risk of CVDs in midlife women. Caution should be exercised in evaluating the confounding by PM2.5 exposure.
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Affiliation(s)
- Xiangmei May Wu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA.
| | - Rupa Basu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
| | - Brian Malig
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
| | - Rachel Broadwin
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
| | - Keita Ebisu
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
| | - Ellen B Gold
- Department of Public Health Sciences, University of California Davis, School of Medicine, Davis, CA, USA
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, School of Medicine, Davis, CA, USA
| | - Carol Derby
- Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rochelle S Green
- Air and Climate Epidemiology Section, Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, CA, USA
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26
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Gautam S, Yadav A, Tsai CJ, Kumar P. A review on recent progress in observations, sources, classification and regulations of PM 2.5 in Asian environments. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2016; 23:21165-21175. [PMID: 27581048 DOI: 10.1007/s11356-016-7515-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 08/23/2016] [Indexed: 04/15/2023]
Abstract
Natural and human activities generate a significant amount of PM2.5 (particles ≤2.5 μm in aerodynamic diameter) into the surrounding atmospheric environments. Because of their small size, they can remain suspended for a relatively longer time in the air than coarse particles and thus can travel long distances in the atmosphere. PM2.5 is one of the key indicators of pollution and known to cause numerous types of respiratory and lung-related diseases. Due to poor implementation of regulations and a time lag in introducing the vehicle technology, levels of PM2.5 in most Asian cities are much worse than those in European environments. Dedicated reviews on understanding the characteristics of PM2.5 in Asian urban environments are currently missing but much needed. In order to fill the existing gaps in the literature, the aim of this review article is to describe dominating sources and their classification, followed by current status and health impact of PM2.5, in Asian countries. Further objectives include a critical synthesis of the topics such as secondary and tertiary aerosol formation, chemical composition, monitoring and modelling methods, source apportionment, emissions and exposure impacts. The review concludes with the synthesis of regulatory guidelines and future perspectives for PM2.5 in Asian countries. A critical synthesis of literature suggests a lack of exposure and monitoring studies to inform personal exposure in the household and rural areas of Asian environments.
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Affiliation(s)
- Sneha Gautam
- Institute of Environmental Engineering, National Chiao Tung University, No. 1001, University Road, Hsinchu, 30010, Taiwan
| | - Ankit Yadav
- The INCLEN Trust International, Okhla Industrial Area, Phase-I, New Delhi, 110020, India
| | - Chuen-Jinn Tsai
- Institute of Environmental Engineering, National Chiao Tung University, No. 1001, University Road, Hsinchu, 30010, Taiwan.
| | - Prashant Kumar
- Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
- Environmental Flow (EnFlo) Research Centre, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK
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27
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Ebisu K, Berman JD, Bell ML. Exposure to coarse particulate matter during gestation and birth weight in the U.S. ENVIRONMENT INTERNATIONAL 2016; 94:519-524. [PMID: 27324566 PMCID: PMC4980266 DOI: 10.1016/j.envint.2016.06.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 06/09/2016] [Accepted: 06/10/2016] [Indexed: 05/20/2023]
Abstract
Few studies have explored the relationship between coarse particles (PM10-2.5) and adverse birth outcomes. We examined associations between gestational exposure of PM10-2.5 and birth weight. U.S. birth certificates data (1999-2007) were acquired for 8,017,865 births. Gestational and trimester exposures of PM10-2.5 were estimated using co-located PM10 and PM2.5 monitors ≤35km from the population-weighted centroid of mothers' residential counties. A linear regression model was applied, adjusted by potential confounders. As sensitivity analyses, we explored alternative PM10-2.5 estimations, adjustment for PM2.5, and stratification by regions. Gestational exposure to PM10-2.5 was associated with 6.6g (95% Confidence Interval: 5.9, 7.2) lower birth weight per interquartile range increase (7.8μg/m(3)) in PM10-2.5 exposures. All three trimesters showed associations. Under different exposure methods for PM10-2.5, associations remained consistent but with different magnitudes. Results were robust after adjusting for PM2.5, and regional analyses showed associations in all four regions with larger estimates in the South. Our results suggest that PM10-2.5 is associated with birth weight in addition to PM2.5. Regional heterogeneity may reflect differences in population, measurement error, region-specific emission pattern, or different chemical composition within PM10-2.5. Most countries do not set health-based standards for PM10-2.5, but our findings indicate potentially important health effects of PM10-2.5.
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Affiliation(s)
- Keita Ebisu
- Yale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA.
| | - Jesse D Berman
- Yale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA.
| | - Michelle L Bell
- Yale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA.
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28
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Pereira G, Bracken MB, Bell ML. Particulate air pollution, fetal growth and gestational length: The influence of residential mobility in pregnancy. ENVIRONMENTAL RESEARCH 2016; 147:269-74. [PMID: 26918840 PMCID: PMC4821760 DOI: 10.1016/j.envres.2016.02.001] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 01/31/2016] [Accepted: 02/01/2016] [Indexed: 05/18/2023]
Abstract
BACKGROUND It remains unclear as to whether neglecting residential mobility during pregnancy introduces bias in studies investigating air pollution and adverse perinatal outcomes, as most studies assess exposure based on residence at birth. The aim of this study was to ascertain whether such bias can be observed in a study on the effects of PM10 on risk of preterm birth and fetal growth restriction. METHODS This was a retrospective study using four pregnancy cohorts of women recruited in Connecticut, USA (N=10,025). We ascertained associations with PM10 exposure calculated using first recorded maternal address, last recorded address, and full address histories. We used a discrete time-to-event model for preterm birth, and logistic regression to investigate associations with small for gestational age (SGA) and term low birth weight (LBW). RESULTS Pregnant women tended to move to areas with lower levels of PM10. For all outcomes, there was negligible difference between effect sizes corresponding to exposures calculated with first, last and full address histories. For LBW, associations were observed for exposure in second trimester (OR 1.09; 95% CI: 1.04-1.14 per 1μg/m(3) PM10) and whole pregnancy (OR 1.08; 95% CI: 1.02-1.14). For SGA, associations were observed for elevated exposure in second trimester (OR 1.02; 95% CI: 1.00-1.04) and whole pregnancy (OR 1.03; 95% CI: 1.01-1.05). There was insufficient evidence for association with preterm birth. CONCLUSION PM10 was associated with both SGA and term LBW. However, there was negligible benefit in accounting for residential mobility in pregnancy in this study.
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Affiliation(s)
- Gavin Pereira
- School of Public Health, Curtin University, Perth, WA 6845, Australia.
| | - Michael B Bracken
- Center for Perinatal Pediatric and Environmental Epidemiology, School of Medicine, Yale University, New Haven, CT 06511, USA
| | - Michelle L Bell
- School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA
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Ebisu K, Holford TR, Bell ML. Association between greenness, urbanicity, and birth weight. THE SCIENCE OF THE TOTAL ENVIRONMENT 2016; 542:750-6. [PMID: 26546769 PMCID: PMC4670829 DOI: 10.1016/j.scitotenv.2015.10.111] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Revised: 10/07/2015] [Accepted: 10/22/2015] [Indexed: 05/05/2023]
Abstract
BACKGROUND More than half of the world's population lives in urban environments. Due to urban related factors (e.g. higher air pollution), urban residents may face higher risk of adverse health outcomes, while access to green space could benefit health. PURPOSE We explored associations between urban and green land-use and birth weight. METHODS Connecticut, U.S., birth certificate data (2000-2006) were acquired (n=239,811), and land-use data were obtained from the National Land Cover Database. We focused on three land-uses; urban space, urban open space, and green space (i.e. forest, shrub, herbaceous, and cultivated land). We estimated fractions of greenness and urbanicity within 250 m from residence. A linear mixed effects model was conducted for birth weight and a logistic mixed effects model for low birth weight (LBW) and small for gestational age (SGA). RESULTS An interquartile range (IQR) increment in the fraction of green space within 250 m of residence was associated with 3.2g (95% Confidence Interval [0.4, 6.0]) higher birth weight. Similarly, an IQR increase in green space was associated with 7.6% [2.6, 12.4] decreased risk of LBW. Exposure to urban space was negatively correlated with green space (Pearson correlation=-0.88), and it showed negative association with birth outcomes. Results were generally robust with different buffer sizes and controlling for fine particles (PM2.5) and traffic. CONCLUSIONS We found protective associations by green space on birth outcomes. Increasing green space and/or reducing urban space (e.g. the greening of city environments) may reduce the risk of adverse birth outcomes such as LBW and SGA. Populations living in urban environments will grow in the next half century, and allocation of green space among urban areas may play a critical role for public health in urban planning.
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Affiliation(s)
- Keita Ebisu
- Yale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA.
| | - Theodore R Holford
- Yale University, School of Public Health, Department of Biostatistics, 60 College Street, New Haven, CT 06520, USA
| | - Michelle L Bell
- Yale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA
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