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

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Bräuner, EV, Jørgensen, JT, Duun-Henriksen, AK, Backalarz, C, Laursen, JE, Pedersen, TH, Simonsen, MK & Andersen, ZJ 2018, 'Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort' Environment International, bind 121, nr. Pt 1, s. 794-802. https://doi.org/10.1016/j.envint.2018.10.011

APA

Bräuner, E. V., Jørgensen, J. T., Duun-Henriksen, A. K., Backalarz, C., Laursen, J. E., Pedersen, T. H., ... Andersen, Z. J. (2018). Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort. Environment International, 121(Pt 1), 794-802. https://doi.org/10.1016/j.envint.2018.10.011

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MLA

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Author

Bräuner, Elvira V ; Jørgensen, Jeanette T ; Duun-Henriksen, Anne Katrine ; Backalarz, Claus ; Laursen, Jens E ; Pedersen, Torben H ; Simonsen, Mette K ; Andersen, Zorana J. / Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort. I: Environment International. 2018 ; Bind 121, Nr. Pt 1. s. 794-802.

Bibtex

@article{3519cfffae33423f9242ad7d675ee8f4,
title = "Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort",
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 fa{\cc}ade. 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.",
author = "Br{\"a}uner, {Elvira V} and J{\o}rgensen, {Jeanette T} and Duun-Henriksen, {Anne Katrine} and Claus Backalarz and Laursen, {Jens E} and Pedersen, {Torben H} and Simonsen, {Mette K} and Andersen, {Zorana J}",
note = "Copyright {\circledC} 2018. Published by Elsevier Ltd.",
year = "2018",
month = "12",
doi = "10.1016/j.envint.2018.10.011",
language = "English",
volume = "121",
pages = "794--802",
journal = "Environmental International",
issn = "0160-4120",
publisher = "Pergamon",
number = "Pt 1",

}

RIS

TY - JOUR

T1 - Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort

AU - Bräuner, Elvira V

AU - Jørgensen, Jeanette T

AU - Duun-Henriksen, Anne Katrine

AU - Backalarz, Claus

AU - Laursen, Jens E

AU - Pedersen, Torben H

AU - Simonsen, Mette K

AU - Andersen, Zorana J

N1 - Copyright © 2018. Published by Elsevier Ltd.

PY - 2018/12

Y1 - 2018/12

N2 - 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.

AB - 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.

U2 - 10.1016/j.envint.2018.10.011

DO - 10.1016/j.envint.2018.10.011

M3 - Journal article

VL - 121

SP - 794

EP - 802

JO - Environmental International

JF - Environmental International

SN - 0160-4120

IS - Pt 1

ER -

ID: 56059685