High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA

Abstract Background Some studies have linked long-term exposure to traffic related air pollutants (TRAP) with adverse cardiovascular health outcomes; however, previous studies have not linked highly variable concentrations of TRAP measured at street-level within neighborhoods to cardiovascular healt...

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Main Authors: Stacey E. Alexeeff (Author), Ananya Roy (Author), Jun Shan (Author), Xi Liu (Author), Kyle Messier (Author), Joshua S. Apte (Author), Christopher Portier (Author), Stephen Sidney (Author), Stephen K. Van Den Eeden (Author)
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Published: BMC, 2018-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Stacey E. Alexeeff  |e author 
700 1 0 |a Ananya Roy  |e author 
700 1 0 |a Jun Shan  |e author 
700 1 0 |a Xi Liu  |e author 
700 1 0 |a Kyle Messier  |e author 
700 1 0 |a Joshua S. Apte  |e author 
700 1 0 |a Christopher Portier  |e author 
700 1 0 |a Stephen Sidney  |e author 
700 1 0 |a Stephen K. Van Den Eeden  |e author 
245 0 0 |a High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA 
260 |b BMC,   |c 2018-05-01T00:00:00Z. 
500 |a 10.1186/s12940-018-0382-1 
500 |a 1476-069X 
520 |a Abstract Background Some studies have linked long-term exposure to traffic related air pollutants (TRAP) with adverse cardiovascular health outcomes; however, previous studies have not linked highly variable concentrations of TRAP measured at street-level within neighborhoods to cardiovascular health outcomes. Methods Long-term pollutant concentrations for nitrogen dioxide [NO2], nitric oxide [NO], and black carbon [BC] were obtained by street-level mobile monitoring on 30 m road segments and linked to residential addresses of 41,869 adults living in Oakland during 2010 to 2015. We fit Cox proportional hazard models to estimate the relationship between air pollution exposures and time to first cardiovascular event. Secondary analyses examined effect modification by diabetes and age. Results Long-term pollutant concentrations [mean, (standard deviation; SD)] for NO2, NO and BC were 9.9 ppb (SD 3.8), 4.9 ppb (SD 3.8), and 0.36 μg/m3 (0.17) respectively. A one SD increase in NO2, NO and BC, was associated with a change in risk of a cardiovascular event of 3% (95% confidence interval [CI] -6% to 12%), 3% (95% CI -5% to 12%), and − 1% (95% CI -8% to 7%), respectively. Among the elderly (≥65 yrs), we found an increased risk of a cardiovascular event of 12% for NO2 (95% CI: 2%, 24%), 12% for NO (95% CI: 3%, 22%), and 7% for BC (95% CI: -3%, 17%) per one SD increase. We found no effect modification by diabetes. Conclusions Street-level differences in long-term exposure to TRAP were associated with higher risk of cardiovascular events among the elderly, indicating that within-neighborhood differences in TRAP are important to cardiovascular health. Associations among the general population were consistent with results found in previous studies, though not statistically significant. 
546 |a EN 
690 |a Air pollution 
690 |a Cardiovascular disease 
690 |a Coronary heart disease 
690 |a Mortality 
690 |a Mobile monitoring 
690 |a Industrial medicine. Industrial hygiene 
690 |a RC963-969 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Environmental Health, Vol 17, Iss 1, Pp 1-13 (2018) 
787 0 |n http://link.springer.com/article/10.1186/s12940-018-0382-1 
787 0 |n https://doaj.org/toc/1476-069X 
856 4 1 |u https://doaj.org/article/92040976af63410c9aaa8bc8fcec8eb3  |z Connect to this object online.