Background
Studies on transportation noise and incident stroke are few and inconclusive. We aimed to investigate associations between road-traffic and railway noise and the risk of incident stroke in the entire Danish population.
Methods
We estimated road-traffic and railway noise (Lden) at the most and least exposed façades for all residential addresses across Denmark (2.8 million) for the period 1990–2017. Based on this, we estimated the 10-year time-weighted mean noise exposure for 3.6 million Danes aged >35 years, of whom 184 523 developed incident stroke during follow-up from 2000 to 2017. Analyses were conducted using Cox proportional-hazards models, with adjustment for various individual- and area-level demographic and socio-economic covariates collected from registries and air pollution [fine particulate matter with particles with a diameter of ≤2.5 µm (PM2.5) and nitrogen dioxide (NO2)].
Results
A 10-dB increase in the 10-year mean road-traffic noise at the most exposed façade was associated with an incidence rate ratio (IRR) of 1.04 [95% confidence interval (CI): 1.03–1.05] for all strokes. For road-traffic noise at the least exposed façade, the IRR per 10 dB was 1.03 (95% CI: 1.02–1.04) for all strokes. Railway noise was not associated with a higher risk of stroke.
Conclusion
Road-traffic noise increased the risk of stroke. These findings add to the evidence of road-traffic noise as a cardiovascular risk factor.
Access to the published version may require journal subscription. Published with permission from: Elsevier.Standard set statement from the publisher: NOTICE: this is the author's version of a work that was accepted for publication in Ecological Indicators. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ECOLOGICAL INDICATORS, 13, 1 (February
AbstractIn 2002, world leaders made a commitment through the Convention on Biological Diversity (CBD), to achieve a significant reduction in the rate of biodiversity loss by 2010. At the Conference of the Parties of the CBD in Nagoya, Japan in 2010, the target was renewed for 2020. We have developed a Biodiversity Change Index (BCI) to help measure progress towards this target. The BCI is constructed with a two-dimensional resolution, allowing for a direct evaluation of the relative importance of changes in quantity and quality, respectively, to the overall change in biodiversity. Quantity is measured as the area of a specified habitat type and quality as the abundance of indicator species and other habitat quality parameters, such as the proportion of old trees or dead wood in forests. The BCI enables easy comparison of changes in biodiversity between different habitat types and between different regions and nations. We illustrate the use of BCI by calculating the index for the Nordic countries for two common habitat types, farmland and forest, and one habitat type of similar importance in the northern hemisphere; mires. In the period 1990-2005 declines in biodiversity of similar magnitudes are seen for farmland and mires across the Nordic countries, while for forest, trends vary considerably. Our results show that the BCI framework can be a useful tool to communicate the complex issue of biodiversity change in a simple manner. However, in accordance with other studies of biodiversity change we conclude that existing monitoring data are too scarce to consistently calculate BCI for all habitat types in all Nordic countries. In order to reasonably evaluate changes in biodiversity, further efforts towards monitoring programmes to obtain reliable and quality assured data on biodiversity at acceptable spatial and temporal resolutions are needed. Moreover, common methods to apply and harmonise data from different monitoring schemes should be developed.
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