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The effects of noise disruption on sleep disturbance

Establishing the physiological and sleep disruption characteristics of noise disturbances in sleep

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12619000501145
Acronym
Not applicable
Enrollment
68
Registered
2019-03-27
Start date
2019-06-13
Completion date
2021-01-15
Last updated
2021-07-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Good sleep is essential for normal daytime functioning and health and effects of sleep disorders and sensory disturbances such as traffic noise on sleep quality and health outcomes are well known. Expansion of wind farm facilities in Australia has been associated with widespread community complaints regarding sleep disturbance and adverse health effects potentially attributable to wind farms operating in a normally quiet rural environment. Wind farm noise exposure, including audible and potentially inaudible low frequency components, clearly has the potential to adversely affect sleep, health and well-being through two main plausible and inter-related mechanisms; chronic sleep fragmentation from frequent physiological activation responses to sensory disturbances in sleep, and chronic insomnia which could potentially develop more gradually over time in sensitised individuals. However, as outlined in the NHMRC rapid review of the evidence, data from well-designed studies using objective measures of sleep and sound are remarkably lacking and are clearly now needed to definitively establish the sleep disruption characteristics of wind farm noise compared to other noise disturbances in sleep. This project will, for the first time, use direct electroencephalographic (EEG) and cardiovascular measurements to systematically evaluate the sleep disruption and physiological activation response characteristics of wind farm noise during sleep. Groups of individuals with and without prior wind farm noise exposure will be studied in carefully controlled laboratory conditions using pre-recorded and accurately-reproduced wind-farm noise, including and excluding low frequency components and infrasound. Dose-response characteristics will also be evaluated against more ubiquitous traffic noise in sleep. Potential predictors of sleep disturbance responses such as sensory acuity, annoyance and physiological activation response to noise presented during wakefulness will also be evaluated.

Interventions

These experiments are specifically designed to establish wind farm versus traffic noise effects on sleep efficiency (macro-structure), and micro-arousal responses to each noise type at equivalent A-weighted Sound Pressure Levels (SPL). Twenty participants from each of the 4 experimental groups will be asked to attend the laboratory for 7 consecutive night sleep studies (4 experimental nights, each with an intervening recovery night). Experimental nights will consist of; prolonged wind farm and t

These experiments are specifically designed to establish wind farm versus traffic noise effects on sleep efficiency (macro-structure), and micro-arousal responses to each noise type at equivalent A-weighted Sound Pressure Levels (SPL). Twenty participants from each of the 4 experimental groups will be asked to attend the laboratory for 7 consecutive night sleep studies (4 experimental nights, each with an intervening recovery night). Experimental nights will consist of; prolonged wind farm and traffic noise exposures (WF and T nights), a noise fragmentation night (i.e., randomised and counterbalanced WFN and TN at various SPL, along with silent control exposures), and a control night in random order. Participants will be instrumented for sleep and physiological measures prior to going to bed at their habitual bedtime each night and instructed that they may or may not notice any noises on any of the nights. Experimental noise exposures will only commence once polysomnographically defined stable (>2 min) stage 2 or deeper sleep is already established (or re-established) to avoid noise interference with sleep onset, which we do not believe can be adequately blinded in full night noise exposure experiments. WFN and TN arousal thresholds in deep and stage 2 sleep will be measured on each experimental night using an established brief noise-escalation protocol. WFN and TN nights will be constructed to approximate worst case noise exposure nights (from existing recordings) using 3-min periods of pre-recorded noises with minimal time-variability, randomised into a sequence containing both no noise (control exposures) and A-weighted SPLs up to original recording maxima in 3-6 dBA increments. We will use fade-in over the first 30-sec and A-weight SPL matching between noise types and include noises both unfiltered and filtered to exclude low frequencies <160 Hz and infrasound <20 Hz. The primary outcome is sleep efficiency (sleep time as a % of each 5 min exposure), which requires fixed/ongoing exposures irrespective of arousals or awakenings. On sleep fragmentation nights pre-recorded short (~20-sec) wind farm and traffic noise events will be replayed to more specifically examine physiological activation responses to brief noise events. Noises will be replayed with varying SPLs and filtering similar to WFN and TN nights to span the full range of physiological activation responses from no discernible to “sub-cortical”, micro-arousal and full-awakening responses, with as many replicates as possible throughout the night. This protocol is specifically designed to allow construction of noise dose (SPL)-response curves as a function of stimulus type and sleep stage. In the morning, participants will be asked how well they slept compared to their usual sleep, and to recall what type and number of sounds if any they heard over the previous night to test blinding effectiveness. Salivary samples for cortisol measurements will be collected over the first hour and at 12 hours after initial morning awakening. Between salivary samples in the first hour participants will also undergo a brief psychomotor vigilance task (PVT), and measures of daytime sleepiness. Daytime in-laboratory noise detection and perception tests will commence following breakfast, after which participants will be free to leave the laboratory for the remainder of the day before returning for their next study night. Daytime in-laboratory noise detection and perception tests will compare perceptual responses (acuity, annoyance, loudness and level of acceptance for sleep) and measures of physiological disturbances (heart rate, blood pressure, vasoconstriction responses) of a range of pre-recorded wind farm and traffic noise samples replayed in random order to participants from each survey respondent group. Methods are based largely on previous studies assessing noise annoyance, with the addition of EEG and cardiovascular measurements.

Sponsors

Flinders University
Lead SponsorUniversity

Study design

Allocation
Randomised controlled trial
Intervention model
Crossover
Primary purpose
Diagnosis
Masking
Blinded (masking used) (Subject, Caregiver, Investigator, Outcomes Assessor)

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

• Age > 17 years; and • Freely given informed consent; and • One of the following: - Live < 10 km from a wind turbine; or - Live in a quiet rural area; or - Live adjacent to a busy road traffic corridor

Exclusion criteria

• Language difficulties that might preclude fully informed consent. • Self-reported sleep disorders other than Insomnia (e.g., Sleep Apnoea, Restless Legs Syndrome) • Pregnancy/lactation • Night shift work • Trans meridian travel • Trans-meridian travel (equal to or greater than 2 time zones) in the last 2 months

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 12, 2026