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Establishing the acute physiological and sleep disruption characteristics of wind farm versus road traffic noise disturbances in sleep: a randomized controlled trial protocol

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 w...

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Detalles Bibliográficos
Autores principales: Micic, Gorica, Zajamsek, Branko, Lechat, Bastien, Hansen, Kristy, Scott, Hannah, Toson, Barbara, Liebich, Tessa, Dunbar, Claire, Nguyen, Duc Phuc, Decup, Felix, Vakulin, Andrew, Lovato, Nicole, Lack, Leon, Hansen, Colin, Bruck, Dorothy, Chai-Coetzer, Ching Li, Mercer, Jeremy, Doolan, Con, Catcheside, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517905/
https://www.ncbi.nlm.nih.gov/pubmed/37750160
http://dx.doi.org/10.1093/sleepadvances/zpad033
Descripción
Sumario: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.