Elsevier

Environment International

Volume 121, Part 1, December 2018, Pages 794-802
Environment International

Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort

https://doi.org/10.1016/j.envint.2018.10.011Get rights and content
Under a Creative Commons license
open access

Highlights

  • We examined the association between long-term exposure to wind turbine noise and incidence of myocardial infarction (MI).

  • Of 23,994 nurses from the Danish Nurse Cohort, 13% lived within 6,000m radius from wind turbine and 5% were exposed to wind turbine levels above 25 dB.

  • Long-term exposure to wind turbine noise was not associated with risk of MI.

  • A small fraction of Danish population is exposed to high levels of wind turbine noise.

  • Low numbers of MI cases exposed to high levels of wind turbine noise call for reproduction of these analyses.

Abstract

Background

Growing evidence supports the concept that traffic noise exposure leads to long-term health complications other than annoyance, including cardiovascular disease. Similar effects may be expected from wind turbine noise exposure, but evidence is sparse. Here, we examined the association between long-term exposure to wind turbine noise and incidence of myocardial infarction (MI).

Methods

We used the Danish Nurse Cohort with 28,731 female nurses and obtained data on incidence of MI in the Danish National Patient and Causes of Death Registries until ultimo 2013. Wind turbine noise levels at residential addresses between 1982 and 2013 were estimated using the Nord2000 noise propagation model, as the annual means of a weighted 24-hour average (Lden) at the most exposed façade. Time-varying Cox proportional hazard regression was used to examine the association between the 11-, 5- and 1-year rolling means prior to MI diagnosis of wind turbine noise levels and MI incidence.

Results

Of 23,994 nurses free of MI at cohort baseline, 686 developed MI by end of follow-up in 2013. At the cohort baseline (1993 or 1999), 10.4% nurses were exposed to wind turbine noise (≥1 turbine within a 6000-m radius of the residence) and 13.3% in 2013. Mean baseline residential noise levels among exposed nurses were 26.3 dB, higher in those who developed MI (26.6 dB) than among those who didn't develop MI (26.3 dB). We found no association between wind turbine noise and MI incidence: adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) comparing nurses with 11-years mean residential noise levels of <21.5 dB, 21.5–25.4 dB, 25.4–29.9 dB, and >29.9 dB, to non-exposed nurses were 0.89 (0.64–1.25), 1.20 (0.82–1.77), 1.38 (0.95–2.01), and 0.88 (0.53–1.28), respectively. Corresponding HR (95% CI) for the linear association between 11-year mean levels of wind turbine noise (per 10 dB increase) with MI incidence was 0.99 (0.77–1.28). Similar associations were observed when considering the 5- and 1-year running means, and with no evidence of dose-response.

Conclusions

The results of this comprehensive cohort study lend little support to a causal association between outdoor long-term wind-turbine noise exposure and MI. However, there were only few cases in the highest exposure groups and our findings need reproduction.

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