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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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. Res Sq 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Li P, Wu J, Tong M, Li J, Wang R, Ni X, Lu H, Deng J, Ai S, Xue T, Zhu T. The association of birthweight with fine particle exposure is modifiable by source sector: Findings from a cross-sectional study of 17 low- and middle-income countries. Ecotoxicol Environ Saf 2023; 253:114696. [PMID: 36857918 DOI: 10.1016/j.ecoenv.2023.114696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Low birthweight attributable to fine particulate matter (PM2.5) exposure is a global issue affecting infant health, especially in low- and middle-income countries (LMICs). However, large-population studies of multiple LMICs are lacking, and little is known about whether the source of PM2.5 is a determinant of the toxic effect on birthweight. OBJECTIVE We examined the effect on birthweight of long-term exposure to PM2.5 from different sources in LMICs. METHODS The birthweights of 53,449 infants born between September 16, 2017 and September 15, 2018 in 17 LMICs were collected from demographic and health surveys. Long-term exposure to PM2.5 in 2017 produced by 20 different sources was estimated by combining chemical transport model simulations with satellite-based concentrations of total mass. Generalized linear regression models were used to investigate the associations between birthweight and each source-specific PM2.5 exposure. A multiple-pollutant model with a ridge penalty on the coefficients of all 20-source-specific components was employed to develop a joint exposure-response function (JERF) of the PM2.5 mixtures. The estimated JERF was then used to quantify the global burden of birthweight reduction attributable to PM2.5 mixtures and to PM2.5 from specific sources. RESULTS The fully adjusted single-pollutant model indicated that exposure to a 10 μg/m3 increase in total PM2.5 was significantly associated with a -6.6 g (95% CI -11.0 to -2.3) reduction in birthweight. In single- and multiple-pollutant models, significant birthweight changes were associated with exposure to PM2.5 produced by international shipping (SHP), solvents (SLV), agricultural waste burning (GFEDagburn), road transportation (ROAD), waste handling and disposal (WST), and windblown dust (WDUST). Based on the global average exposure to PM2.5 mixtures, the JERF showed that the overall change in birthweight could mostly be attributed to PM2.5 produced by ROAD (-37.7 g [95% CI -49.2 to -24.4] for a global average exposure of 2.2 μg/m3), followed by WST (-27.5 g [95% CI -42.6 to -10.7] for a 1.6-μg/m3 exposure), WDUST (-19.5 g [95% CI -26.7 to -12.6] for a 8.6-μg/m3 exposure), and SHP (-19.0 g [95% CI -32.3 to -5.7] for a 0.2-μg/m3 exposure), which, with the exception of WDUST, are anthropogenic sources. The changes in birthweight varied geographically and were co-determined by the concentration as well as the source profile of the PM2.5 mixture. CONCLUSION PM2.5 exposure is associated with a reduction in birthweight, but our study shows that the magnitude of the association differs depending on the PM2.5 source. A source-targeted emission-control strategy that considers local features is therefore critical to maximize the health benefits of air quality improvement, especially with respect to promoting maternal and child health.
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Affiliation(s)
- Pengfei Li
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; National Institute of Health Data Science, Peking University, Beijing 100191, China.
| | - Jingyi Wu
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China.
| | - Mingkun Tong
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Jiajianghui Li
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Ruohan Wang
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Xueqiu Ni
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Hong Lu
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Jianyu Deng
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
| | - Siqi Ai
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| | - Tao Xue
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China; Center for Environment and Health, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
| | - Tong Zhu
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; Center for Environment and Health, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.
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