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Acute Effects of Nitrogen Dioxide on Cardiovascular Mortality in Beijing: An Exploration of Spatial Heterogeneity and the District-specific Predictors
The exploration of spatial variation and predictors of the effects of nitrogen dioxide (NO(2)) on fatal health outcomes is still sparse. In a multilevel case-crossover study in Beijing, China, we used mixed Cox proportional hazard model to examine the citywide effects and conditional logistic regres...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133577/ https://www.ncbi.nlm.nih.gov/pubmed/27910959 http://dx.doi.org/10.1038/srep38328 |
Sumario: | The exploration of spatial variation and predictors of the effects of nitrogen dioxide (NO(2)) on fatal health outcomes is still sparse. In a multilevel case-crossover study in Beijing, China, we used mixed Cox proportional hazard model to examine the citywide effects and conditional logistic regression to evaluate the district-specific effects of NO(2) on cardiovascular mortality. District-specific predictors that could be related to the spatial pattern of NO(2) effects were examined by robust regression models. We found that a 10 μg/m(3) increase in daily mean NO(2) concentration was associated with a 1.89% [95% confidence interval (CI): 1.33–2.45%], 2.07% (95% CI: 1.23–2.91%) and 1.95% (95% CI: 1.16–2.72%) increase in daily total cardiovascular (lag03), cerebrovascular (lag03) and ischemic heart disease (lag02) mortality, respectively. For spatial variation of NO(2) effects across 16 districts, significant effects were only observed in 5, 4 and 2 districts for the above three outcomes, respectively. Generally, NO(2) was likely having greater adverse effects on districts with larger population, higher consumption of coal and more civilian vehicles. Our results suggested independent and spatially varied effects of NO(2) on total and subcategory cardiovascular mortalities. The identification of districts with higher risk can provide important insights for reducing NO(2) related health hazards. |
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