Sources of personal PM2.5 exposure during pregnancy in the MADRES cohort

被引:3
作者
Xu, Yan [1 ,2 ]
O'Sharkey, Karl [2 ]
Cabison, Jane [2 ]
Rosales, Marisela [2 ]
Chavez, Thomas [2 ]
Johnson, Mark [2 ]
Yang, Tingyu [2 ]
Cho, Seung-Hyun [3 ]
Chartier, Ryan [3 ]
Grubbs, Brendan [4 ]
Lurvey, Nathana [5 ]
Lerner, Deborah [5 ]
Lurmann, Frederick [6 ]
Farzan, Shohreh [2 ]
Bastain, Theresa M. [2 ]
Breton, Carrie [2 ]
Wilson, John P. [1 ,2 ,7 ]
Habre, Rima [1 ,2 ]
机构
[1] Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA 90007 USA
[2] Univ Southern Calif, Dept Populat & Publ Hlth Sci, Los Angeles, CA 90007 USA
[3] RTI Int, Res Triangle Pk, NC USA
[4] Univ Southern Calif, Dept Obstet & Gynecol, Los Angeles, CA USA
[5] Eisner Hlth, Los Angeles, CA USA
[6] Sonoma Technol Inc, Petaluma, CA USA
[7] Univ Southern Calif, Dept Civil & Environm Engn, Comp Sci, Sociol, Los Angeles, CA USA
关键词
Personal exposure; PM2.5; Source apportionment; pregnancy; Secondhand smoking source; Traffic source; FINE PARTICULATE MATTER; ENVIRONMENTAL TOBACCO-SMOKE; INDOOR AIR-POLLUTION; SOURCE APPORTIONMENT; SECONDHAND SMOKE; BIRTH-WEIGHT; FETAL-GROWTH; EMISSIONS; CHILDREN; OUTDOOR;
D O I
10.1038/s41370-024-00648-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Personal exposure to fine particulate matter (PM2.5) is impacted by different sources each with different chemical composition. Determining these sources is important for reducing personal exposure and its health risks especially during pregnancy. Objective: Identify main sources and their contributions to the personal PM2.5 exposure in 213 women in the 3rd trimester of pregnancy in Los Angeles, CA. Methods: We measured 48-hr integrated personal PM2.5 exposure and analyzed filters for PM2.5 mass, elemental composition, and optical carbon fractions. We used the EPA Positive Matrix Factorization (PMF) model to resolve and quantify the major sources of personal PM2.5 exposure. We then investigated bivariate relationships between sources, time-activity patterns, and environmental exposures in activity spaces and residential neighborhoods to further understand sources. Results: Mean personal PM2.5 mass concentration was 22.3 (SD = 16.6) mu g/m(3). Twenty-five species and PM2.5 mass were used in PMF with a final R-2 of 0.48. We identified six sources (with major species in profiles and % contribution to PM2.5 mass) as follows: secondhand smoking (SHS) (brown carbon, environmental tobacco smoke; 65.3%), fuel oil (nickel, vanadium; 11.7%), crustal (aluminum, calcium, silicon; 11.5%), fresh sea salt (sodium, chlorine; 4.7%), aged sea salt (sodium, magnesium, sulfur; 4.3%), and traffic (black carbon, zinc; 2.6%). SHS was significantly greater in apartments compared to houses. Crustal source was correlated with more occupants in the household. Aged sea salt increased with temperature and outdoor ozone, while fresh sea salt was highest on days with westerly winds from the Pacific Ocean. Traffic was positively correlated with ambient NO2 and traffic-related NOx at residence. Overall, 76.8% of personal PM2.5 mass came from indoor or personal compared to outdoor sources. Impact: We conducted source apportionment of personal PM2.5 samples in pregnancy in Los Angeles, CA. Among identified sources, secondhand smoking contributed the most to the personal exposure. In addition, traffic, crustal, fuel oil, fresh and aged sea salt sources were also identified as main sources. Traffic sources contained markers of combustion and non-exhaust wear emissions. Crustal source was correlated with more occupants in the household. Aged sea salt source increased with temperature and outdoor ozone and fresh sea salt source was highest on days with westerly winds from the Pacific Ocean.
引用
收藏
页码:868 / 877
页数:10
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