Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139882
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Type: Journal article
Title: Establishing the acute physiological and sleep disruption characteristics of wind farm versus road traffic noise disturbances in sleep: a randomized controlled trial protocol
Author: Micic, G.
Zajamsek, B.
Lechat, B.
Hansen, K.
Scott, H.
Toson, B.
Liebich, T.
Dunbar, C.
Nguyen, D.P.
Decup, F.
Vakulin, A.
Lovato, N.
Lack, L.
Hansen, C.
Bruck, D.
Chai-Coetzer, C.L.
Mercer, J.
Doolan, C.
Catcheside, P.
Citation: Sleep Advances, 2023; 4(1):zpad033-1-zpad033-11
Publisher: Oxford University Press (OUP)
Issue Date: 2023
ISSN: 2632-5012
2632-5012
Statement of
Responsibility: 
Gorica Micic, Branko Zajamsek, Bastien Lechat, Kristy Hansen, Hannah Scott, Barbara Toson, Tessa Liebich, Claire Dunbar, Duc Phuc Nguyen, Felix Decup, Andrew Vakulin, Nicole Lovato, Leon Lack, Colin Hansen, Dorothy Bruck, Ching Li Chai-Coetzer, Jeremy Mercer, Con Doolan and Peter Catcheside
Abstract: Study Objectives: Despite the global expansion of wind farms, effects of wind farm noise (WFN) on sleep remain poorly understood. This protocol details a randomized controlled trial designed to compare the sleep disruption characteristics of WFN versus road traffic noise (RTN). Methods: This study was a prospective, seven night within-subjects randomized controlled in-laboratory polysomnography-based trial. Four groups of adults were recruited from; <10 km away from a wind farm, including those with, and another group without, noise-related complaints; an urban RTN exposed group; and a group from a quiet rural area. Following an acclimation night, participants were exposed, in random order, to two separate nights with 20-s or 3-min duration WFN and RTN noise samples reproduced at multiple sound pressure levels during established sleep. Four other nights tested for continuous WFN exposure during wake and/ or sleep on sleep outcomes. Results: The primary analyses will assess changes in electroencephalography (EEG) assessed as micro-arousals (EEG shifts to faster frequencies lasting 3–15 s) and awakenings (>15 s events) from sleep by each noise type with acute (20-s) and more sustained (3-min) noise exposures. Secondary analyses will compare dose–response effects of sound pressure level and noise type on EEG K-complex probabilities and quantitative EEG measures, and cardiovascular activation responses. Group effects, self-reported noise sensitivity, and wake versus sleep noise exposure effects will also be examined. Conclusions: This study will help to clarify if wind farm noise has different sleep disruption characteristics compared to road traffic noise.
Keywords: wind farm
wind turbine
environment noise
road traffic
sleep quality
sleep disruption
sleep disturbance
electroencephalogram
Description: Advance access publication 6 September 2023
Rights: © The Author(s) 2023. Published by Oxford University Press on behalf of Sleep Research Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1093/sleepadvances/zpad033
Grant ID: http://purl.org/au-research/grants/nhmrc/GNT1113571
http://purl.org/au-research/grants/arc/SP120102185
Published version: http://dx.doi.org/10.1093/sleepadvances/zpad033
Appears in Collections:Mechanical Engineering publications

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