Transportation noise and risk of stroke: a nationwide prospective cohort study covering Denmark

Int J Epidemiol. 2021 Aug 30;50(4):1147-1156. doi: 10.1093/ije/dyab024.

Abstract

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.

Keywords: Transportation noise; epidemiology; incident stroke; railway noise; road-traffic noise.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollution* / adverse effects
  • Denmark / epidemiology
  • Environmental Exposure / adverse effects
  • Environmental Exposure / analysis
  • Humans
  • Noise, Transportation* / adverse effects
  • Prospective Studies
  • Stroke* / epidemiology