Literature DB >> 29665463

Long-term exposure to wind turbine noise at night and risk for diabetes: A nationwide cohort study.

Aslak Harbo Poulsen1, Ole Raaschou-Nielsen2, Alfredo Peña3, Andrea N Hahmann3, Rikke Baastrup Nordsborg4, Matthias Ketzel5, Jørgen Brandt5, Mette Sørensen6.   

Abstract

Focus on renewable energy sources and reduced unit costs has led to increased number of wind turbines (WTs). WT noise (WTN) is reported to be highly annoying at levels from 30 to 35 dB and up, whereas for traffic noise people report to be highly annoyed from 40 to 45 dB and up. This has raised concerns as to whether WTN may increase risk for major diseases, as exposure to traffic noise has consistently been associated with increased risk of cardiovascular disease and diabetes. We identified all Danish dwellings within a radius of 20 WT heights and 25% of all dwellings within 20-40 WT heights from a WT. Using detailed data on WT type and hourly wind data at each WT position and height, we estimated hourly outdoor and low frequency indoor WTN for all dwellings, aggregated as nighttime 1- and 5-year running means. Using nationwide registries, we identified a study population of 614,731 persons living in these dwellings in the period from 1996 to 2012, of whom 25,148 developed diabetes. Data were analysed using Poisson regression with adjustment for individual and area-levels covariates. We found no associations between long-term exposure to WTN during night and diabetes risk, with incidence rate ratios (IRRs) of 0.90 (95% confidence intervals (CI): 0.79-1.02) and 0.92 (95% CI: 0.68-1.24) for 5-year mean nighttime outdoor WTN of 36-42 and ≥ 42 dB, respectively, compared to < 24 dB. For 5-year mean nighttime indoor low frequency WTN of 10-15 and ≥ 15 dB we found IRRs of 0.90 (0.78-1.04) and 0.74 (95% CI: 0.41-1.34), respectively, when compared to and < 5 dB. The lack of association was consistent across strata of sex, distance to major road, validity of noise estimate and WT height. The present study does not support an association between nighttime WTN and higher risk of diabetes. However, there were only few cases in the highest exposure groups and findings need reproduction.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diabetes; Epidemiology; Wind turbine noise

Mesh:

Year:  2018        PMID: 29665463     DOI: 10.1016/j.envres.2018.03.040

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  4 in total

1.  Long-Term Exposure to Road Traffic Noise and Incidence of Diabetes in the Danish Nurse Cohort.

Authors:  Jeanette Therming Jørgensen; Elvira Vaclavik Bräuner; Claus Backalarz; Jens Elgaard Laursen; Torben Holm Pedersen; Steen Solvang Jensen; Matthias Ketzel; Ole Hertel; Søren Nyman Lophaven; Mette Kildevæld Simonsen; Zorana Jovanovic Andersen
Journal:  Environ Health Perspect       Date:  2019-05       Impact factor: 9.031

Review 2.  Evidence Relating to Environmental Noise Exposure and Annoyance, Sleep Disturbance, Cardio-Vascular and Metabolic Health Outcomes in the Context of IGCB (N): A Scoping Review of New Evidence.

Authors:  Irene van Kamp; Sendrick Simon; Hilary Notley; Christos Baliatsas; Elise van Kempen
Journal:  Int J Environ Res Public Health       Date:  2020-04-26       Impact factor: 3.390

3.  A laboratory study on the effects of wind turbine noise on sleep: results of the polysomnographic WiTNES study.

Authors:  Michael G Smith; Mikael Ögren; Pontus Thorsson; Laith Hussain-Alkhateeb; Eja Pedersen; Jens Forssén; Julia Ageborg Morsing; Kerstin Persson Waye
Journal:  Sleep       Date:  2020-09-14       Impact factor: 5.849

4.  Assessing Potential Health Impacts of Wind Turbine Noise: A Longitudinal Look at Multiple End Points.

Authors:  Nate Seltenrich
Journal:  Environ Health Perspect       Date:  2019-09-11       Impact factor: 9.031

  4 in total

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