Decomposing the variance: The unique and shared associations of fine and ultrafine particulate matter exposed during pregnancy with child autism spectrum disorder

被引:0
|
作者
Yu, Xin [1 ]
Kleeman, Michael J. [2 ]
Lin, Jane C. [3 ]
Chow, Ting [3 ]
Martinez, Mayra P. [3 ]
Chen, Zhanghua [4 ]
Chen, Jiu-Chiuan [4 ]
Eckel, Sandrah P. [4 ]
Schwartz, Joel [5 ,6 ]
Lurmann, Frederick W. [7 ]
McConnell, Rob [4 ]
Xiang, Anny H. [3 ]
Rahman, Md Mostafijur [4 ,8 ]
机构
[1] Univ Southern Calif, Spatial Sci Inst, Los Angeles, CA USA
[2] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA USA
[3] Kaiser Permanente Southern Calif, Dept Res & Evaluat, 100 S Los Robles Ave, Pasadena, CA 91101 USA
[4] Univ Southern Calif, Keck Sch Med, Dept Populat & Publ Hlth Sci, Los Angeles, CA USA
[5] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA
[6] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA
[7] Sonoma Technol Inc, Petaluma, CA USA
[8] Tulane Univ, Sch Publ Hlth & Trop Med, Dept Environm Hlth Sci, New Orleans, LA USA
关键词
Fine particles; Ultrafine particles; Variance decomposition; Deming regression; Autism; AIR-POLLUTION; REGRESSION; PARTICLES; PM2.5; TOXICITY; SIZE;
D O I
10.1016/j.scitotenv.2024.176609
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
regression (OLS) and Deming regression considering errors in both exposures; then assessing associations between decomposed PM 2.5 and PM 0.1 and ASD using Cox proportional hazard models adjusted for covariates. Prenatal PM 2.5 and PM 0.1 each was associated with increased ASD risk. OLS decomposition showed that associations were driven mainly by their shared variance, not by their unique variance. Results from Deming regression considering assumptions of measurement errors were consistent with those from OLS. This decomposition approach has potential to disentangle health effects of correlated exposures, such as PM 2.5 and PM 0.1 from common emissions sources.
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页数:8
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