IGSNRR OpenIR  > 历年回溯文献
Spatial variability of the effect of air pollution on term birth weight: evaluating influential factors using Bayesian hierarchical models
Li L. F.; Laurent, O.; Wu, J.
Source PublicationEnvironmental Health
2016
Volume15
KeywordBayesian hierarchical model Spatial variability Health effect Air pollution Term birth weight los-angeles-county southern california pregnancy outcomes particulate matter nitrogen-dioxide gas cooking impact exposure health association
AbstractBackground: Epidemiological studies suggest that air pollution is adversely associated with pregnancy outcomes. Such associations may be modified by spatially-varying factors including socio-demographic characteristics, land-use patterns and unaccounted exposures. Yet, few studies have systematically investigated the impact of these factors on spatial variability of the air pollution's effects. This study aimed to examine spatial variability of the effects of air pollution on term birth weight across Census tracts and the influence of tract-level factors on such variability. Methods: We obtained over 900,000 birth records from 2001 to 2008 in Los Angeles County, California, USA. Air pollution exposure was modeled at individual level for nitrogen dioxide (NO2) and nitrogen oxides (NOx) using spatiotemporal models. Two-stage Bayesian hierarchical non-linear models were developed to (1) quantify the associations between air pollution exposure and term birth weight within each tract; and (2) examine the sociodemographic, land-use, and exposure-related factors contributing to the between-tract variability of the associations between air pollution and term birth weight. Results: Higher air pollution exposure was associated with lower term birth weight (average posterior effects: -14.7 (95 % CI: -19.8, -9.7) g per 10 ppb increment in NO2 and -6.9 (95 % CI: -12.9, -0.9) g per 10 ppb increment in NOx). The variation of the association across Census tracts was significantly influenced by the tract-level sociodemographic, exposure-related and land-use factors. Our models captured the complex non-linear relationship between these factors and the associations between air pollution and term birth weight: we observed the thresholds from which the influence of the tract-level factors was markedly exacerbated or attenuated. Exacerbating factors might reflect additional exposure to environmental insults or lower socio-economic status with higher vulnerability, whereas attenuating factors might indicate reduced exposure or higher socioeconomic status with lower vulnerability. Conclusions: Our Bayesian models effectively combined a priori knowledge with training data to infer the posterior association of air pollution with term birth weight and to evaluate the influence of the tract-level factors on spatial variability of such association. This study contributes new findings about non-linear influences of socio-demographic factors, land-use patterns, and unaccounted exposures on spatial variability of the effects of air pollution.
Indexed BySCI
Language英语
ISSN1476-069X
DOI10.1186/s12940-016-0112-5
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43061
Collection历年回溯文献
Recommended Citation
GB/T 7714
Li L. F.,Laurent, O.,Wu, J.. Spatial variability of the effect of air pollution on term birth weight: evaluating influential factors using Bayesian hierarchical models. 2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
Li-2016-Spatial vari(1669KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li L. F.]'s Articles
[Laurent, O.]'s Articles
[Wu, J.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li L. F.]'s Articles
[Laurent, O.]'s Articles
[Wu, J.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li L. F.]'s Articles
[Laurent, O.]'s Articles
[Wu, J.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Li-2016-Spatial variability.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.