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Basner M, Smith MG. The effects on sleep play a critical role in the long-term health consequences of noise exposure. Sleep 2024; 47:zsad314. [PMID: 38079452 PMCID: PMC10851844 DOI: 10.1093/sleep/zsad314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2024] Open
Affiliation(s)
- Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Michael G Smith
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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2
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Micic G, Zajamsek B, Lechat B, Hansen K, Scott H, Toson B, Liebich T, Dunbar C, Nguyen DP, Decup F, Vakulin A, Lovato N, Lack L, Hansen C, Bruck D, Chai-Coetzer CL, Mercer J, Doolan C, Catcheside P. Establishing the acute physiological and sleep disruption characteristics of wind farm versus road traffic noise disturbances in sleep: a randomized controlled trial protocol. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 4:zpad033. [PMID: 37750160 PMCID: PMC10517905 DOI: 10.1093/sleepadvances/zpad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 05/31/2023] [Indexed: 09/27/2023]
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.
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Affiliation(s)
- Gorica Micic
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Branko Zajamsek
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Bastien Lechat
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Kristy Hansen
- Flinders University, College of Science and Engineering, Australia
| | - Hannah Scott
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Barbara Toson
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Tessa Liebich
- Flinders University, College of Education, Psychology and Social Work, Australia
| | - Claire Dunbar
- Flinders University, College of Education, Psychology and Social Work, Australia
| | - Duc Phuc Nguyen
- Flinders University, College of Science and Engineering, Australia
| | - Felix Decup
- Flinders University, College of Science and Engineering, Australia
| | - Andrew Vakulin
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
- University of Sydney, NEUROSLEEP, Woolcock Institute of Medical Research, Australia
| | - Nicole Lovato
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
| | - Leon Lack
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
- Flinders University, College of Education, Psychology and Social Work, Australia
| | - Colin Hansen
- The University of Adelaide, School of Mechanical Engineering, Australia
| | - Dorothy Bruck
- Victoria University, Institute for Health and Sport, Australia
| | - Ching Li Chai-Coetzer
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
- Department of Respiratory, Sleep Medicine and Ventilation, Southern Adelaide Local Health Network, SA Health, Australia
| | - Jeremy Mercer
- Department of Respiratory, Sleep Medicine and Ventilation, Southern Adelaide Local Health Network, SA Health, Australia
| | - Con Doolan
- University of New South Wales, School of Mechanical and Manufacturing Engineering, Australia
| | - Peter Catcheside
- Flinders University, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Australia
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3
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Zajamsek B, Hansen K, Lechat B, Liebich T, Dunbar C, Micic G, Catcheside P. Annoyance due to amplitude modulated low-frequency wind farm noise: A laboratory study. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2022; 152:3410. [PMID: 36586880 DOI: 10.1121/10.0016499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
This study tested for differences in perceived annoyance and loudness between road traffic noise (RTN) and wind farm noise (WFN) with amplitude modulation (AM) and tonality. Twenty-two participants, who were primarily university students with no previous exposure to WFN and aged between 19 and 29 (mean, 22 years old; standard deviation, 2) years old with normal hearing, underwent a laboratory-based listening test. Each participant rated perceived annoyance and loudness of WFN and RTN samples played at sound pressure levels (SPLs) ranging from 33 to 48 dBA. Probability modeling revealed that participants were the largest source of variability in ratings of perceived annoyance and loudness while noise type and SPL were relatively minor sources. Overall, no differences were found between WFN and RTN perceived annoyance or loudness ratings. On the other hand, no substantial differences in annoyance were found between low-frequency tonal AM and mid-to-high-frequency AM or "swish" WFN.
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Affiliation(s)
- Branko Zajamsek
- College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide, South Australia 5042, Australia
| | - Bastien Lechat
- College of Medicine, Flinders University, Adelaide, South Australia 5042, Australia
| | - Tessa Liebich
- College of Medicine, Flinders University, Adelaide, South Australia 5042, Australia
| | - Claire Dunbar
- College of Medicine, Flinders University, Adelaide, South Australia 5042, Australia
| | - Gorica Micic
- College of Medicine, Flinders University, Adelaide, South Australia 5042, Australia
| | - Peter Catcheside
- College of Medicine, Flinders University, Adelaide, South Australia 5042, Australia
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4
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Liebich T, Lack L, Hansen K, Zajamsek B, Micic G, Lechat B, Dunbar C, Nguyen DP, Scott H, Catcheside P. An experimental investigation on the impact of wind turbine noise on polysomnography-measured and sleep diary-determined sleep outcomes. Sleep 2022; 45:6568580. [DOI: 10.1093/sleep/zsac085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/25/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study Objectives
Carefully controlled studies of wind turbine noise (WTN) and sleep are lacking, despite anecdotal complaints from some residents in wind farm areas and known detrimental effects of other noises on sleep. This laboratory-based study investigated the impact of overnight WTN exposure on objective and self-reported sleep outcomes.
Methods
Sixty-eight participants (38 females) aged (mean ± SD) 49.2 ± 19.5 were recruited from four groups; N = 14, living <10 km from a wind farm and reporting WTN related sleep disruption; N = 18, living <10 km from a wind farm and reporting no WTN sleep disruption; N = 18, reporting road traffic noise-related sleep disruption; and N = 18 control participants living in a quiet rural area. All participants underwent in-laboratory polysomnography during four full-night noise exposure conditions in random order: a quiet control night (19 dB(A) background laboratory noise), continuous WTN (25 dB(A)) throughout the night; WTN (25 dB(A)) only during periods of established sleep; and WTN (25 dB(A)) only during periods of wake or light N1 sleep. Group, noise condition, and interaction effects on measures of sleep quantity and quality were examined via linear mixed model analyses.
Results
There were no significant noise condition or group-by-noise condition interaction effects on polysomnographic or sleep diary determined sleep outcomes (all ps > .05).
Conclusions
These results do not support that WTN at 25 dB(A) impacts sleep outcomes in participants with or without prior WTN exposure or self-reported habitual noise-related sleep disruption. These findings do not rule out effects at higher noise exposure levels or potential effects of WTN on more sensitive markers of sleep disruption.
Clinical Trial Registration
ACTRN12619000501145, UTN U1111-1229-6126. Establishing the physiological and sleep disruption characteristics of noise disturbances in sleep. https://www.anzctr.org.au/. This study was prospectively registered on the Australian and New Zealand Clinical Trial Registry.
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Affiliation(s)
- Tessa Liebich
- College of Education, Psychology and Social Work, Flinders University , Adelaide , Australia
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Leon Lack
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University , Adelaide , Australia
| | - Branko Zajamsek
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Gorica Micic
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Bastien Lechat
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Claire Dunbar
- College of Education, Psychology and Social Work, Flinders University , Adelaide , Australia
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Duc Phuc Nguyen
- College of Science and Engineering, Flinders University , Adelaide , Australia
| | - Hannah Scott
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University , Adelaide , Australia
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5
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Lechat B, Hirotsu C, Appleton S, Younes M, Adams RJ, Vakulin A, Hansen K, Zajamsek B, Wittert G, Catcheside P, Heinzer R, Eckert DJ. A novel EEG marker predicts perceived sleepiness and poor sleep quality. Sleep 2022; 45:zsac051. [PMID: 35554584 DOI: 10.1093/sleep/zsac051] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 02/16/2022] [Indexed: 09/21/2023] Open
Abstract
STUDY OBJECTIVES To determine if a novel EEG-derived continuous index of sleep depth/alertness, the odds ratio product (ORP), predicts self-reported daytime sleepiness and poor sleep quality in two large population-based cohorts. METHODS ORP values which range from 0 (deep sleep) to 2.5 (fully alert) were calculated in 3s intervals during awake periods (ORPwake) and NREM sleep (ORPNREM) determined from home sleep studies in the HypnoLaus (N = 2162: 1106 females, 1056 males) and men androgen inflammation lifestyle environment and stress (MAILES) cohorts (N = 754 males). Logistic regression was used to examine associations between ORPwake, ORPNREM, and traditional polysomnography measures (as comparators) with excessive sleepiness (Epworth sleepiness scale >10) and poor sleep quality (Pittsburgh sleep quality index >5) and insomnia symptoms. RESULTS High ORPwake was associated with a ~30% increase in poor sleep quality in both HypnoLaus (odds ratio, OR, and 95% CI) 1.28 (1.09, 1.51), and MAILES 1.36 (1.10, 1.68). High ORPwake was also associated with a ~28% decrease in excessive daytime sleepiness in the MAILES dataset. ORPNREM was associated with a ~30% increase in poor sleep quality in HypnoLaus but not in MAILES. No consistent associations across cohorts were detected using traditional polysomnography markers. CONCLUSIONS ORP, a novel EEG-derived metric, measured during wake periods predicts poor sleep quality in two independent cohorts. Consistent with insomnia symptomatology of poor perceived sleep in the absence of excessive daytime sleepiness, ORPwake may provide valuable objective mechanistic insight into physiological hyperarousal.
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Affiliation(s)
- Bastien Lechat
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Camila Hirotsu
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sarah Appleton
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Magdy Younes
- Department of Medicine, University of Manitoba, Winnipeg, MN, Canada
| | - Robert J Adams
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Branko Zajamsek
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Gary Wittert
- Freemasons Centre for Male Health and Wellness, Adelaide University, Adelaide, SA, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
| | - Raphael Heinzer
- Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Danny J Eckert
- Flinders Health and Medical Research Institute Sleep Health/Adelaide Institute for Sleep Health, Flinders University, College of Medicine and Public Health Adelaide, SA, Australia
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6
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Lechat B, Scott H, Decup F, Hansen KL, Micic G, Dunbar C, Liebich T, Catcheside P, Zajamsek B. Environmental noise-induced cardiovascular responses during sleep. Sleep 2021; 45:6489046. [PMID: 34965303 DOI: 10.1093/sleep/zsab302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/21/2021] [Indexed: 11/15/2022] Open
Abstract
STUDY OBJECTIVES This study was designed to test the utility of cardiovascular responses as markers of potentially different environmental noise disruption effects of wind farm compared to traffic noise exposure during sleep. METHODS Twenty participants underwent polysomnography. In random order, and at six sound pressure levels from 33 dBA to 48 dBA in 3 dB increments, three types of wind farm and two types of road traffic noise recordings of 20-sec duration were played during established N2 or deeper sleep, each separated by 20 seconds without noise. Each noise sequence also included a no-noise control. Electrocardiogram and finger pulse oximeter recorded pulse wave amplitude changes from the pre-noise onset baseline following each noise exposure and were assessed algorithmically to quantify the magnitude of heart rate and finger vasoconstriction responses to noise exposure. RESULTS Higher sound pressure levels were more likely to induce drops in pulse wave amplitude. Sound pressure levels as low as 39 dBA evoked a pulse wave amplitude response (Odds ratio [95% confidence interval]; 1.52 [1.15, 2.02]). Wind farm noise with amplitude modulation was less likely to evoke a pulse wave amplitude response than the other noise types, but warrants cautious interpretation given low numbers of replications within each noise type. CONCLUSION These preliminary data support that drops in pulse wave amplitude are a particularly sensitive marker of noise-induced cardiovascular responses during. Larger trials are clearly warranted to further assess relationships between recurrent cardiovascular activation responses to environmental noise and potential long-term health effects.
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Affiliation(s)
- Bastien Lechat
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Hannah Scott
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Felix Decup
- College of Science and Engineering, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Kristy L Hansen
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia.,College of Science and Engineering, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Gorica Micic
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Claire Dunbar
- College of Education, Psychology and Social Work, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Tessa Liebich
- College of Education, Psychology and Social Work, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Peter Catcheside
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
| | - Branko Zajamsek
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, Flinders University, Bedford Park, Adelaide, SA 5042, Australia
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7
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Liebich T, Lack L, Micic G, Hansen K, Zajamsek B, Dunbar C, Lechat B, Scott H, Lovato N, Decup F, Nguyen P, Catcheside P. The effect of wind turbine noise on polysomnographically-measured and self-reported sleep latency in wind turbine noise naïve participants. Sleep 2021; 45:6448133. [PMID: 34865147 DOI: 10.1093/sleep/zsab283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/19/2021] [Indexed: 01/22/2023] Open
Abstract
STUDY OBJECTIVES Wind turbine noise exposure could potentially interfere with the initiation of sleep. However, effects on objectively assessed sleep latency are largely unknown. This study sought to assess the impact of wind turbine noise on polysomnographically-measured and sleep diary-determined sleep latency compared to control background noise alone in healthy good sleepers without habitual prior wind turbine noise exposure. METHODS Twenty-three wind turbine noise naïve urban residents (mean±standard deviation age: 21.7±2.1 years, range 18-29, 13 females) attended the sleep laboratory for two polysomnography studies, one week apart. Participants were blind to noise conditions and only informed that they may or may not hear noise during each night. During the sleep onset period, participants were exposed to counterbalanced nights of wind turbine noise at 33 dB(A), the upper end of expected indoor values; or background noise alone as the control condition (23 dB(A)). RESULTS Linear mixed model analysis revealed no differences in log10 normalized objective or subjective sleep latency between the wind turbine noise versus control nights (median [interquartile range] objective 16.5 [11.0 to 18.5] versus 16.5 [10.5 to 29.0] minutes, p = 0.401; subjective 20.0 [15.0 to 25.0] versus 15.0 [10.0 to 30.0] minutes, p = 0.907). CONCLUSIONS Although undetected small effects cannot be ruled out, these results do not support that wind turbine noise extends sleep latency in young urban dwelling individuals without prior wind turbine noise exposure.
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Affiliation(s)
- Tessa Liebich
- College of Education, Psychology and Social Work, Flinders University, Adelaide 5042, Australia.,Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Leon Lack
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Gorica Micic
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Branko Zajamsek
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Claire Dunbar
- College of Education, Psychology and Social Work, Flinders University, Adelaide 5042, Australia.,Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Bastien Lechat
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Hannah Scott
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Nicole Lovato
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Felix Decup
- College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Phuc Nguyen
- College of Science and Engineering, Flinders University, Adelaide 5042, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute for Sleep, Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
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Dunbar C, Catcheside P, Lechat B, Hansen K, Zajamsek B, Liebich T, Nguyen DP, Scott H, Lack L, Decup F, Vakulin A, Micic G. EEG power spectral responses to wind farm compared with road traffic noise during sleep: A laboratory study. J Sleep Res 2021; 31:e13517. [PMID: 34773428 DOI: 10.1111/jsr.13517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 10/18/2021] [Accepted: 10/25/2021] [Indexed: 11/28/2022]
Abstract
Wind turbine noise is dominated by low frequencies for which effects on sleep relative to more common environmental noise sources such as road traffic noise remain unknown. This study examined the effect of wind turbine noise compared with road traffic noise on sleep using quantitative electroencephalogram power spectral analysis. Twenty-three participants were exposed to 3-min samples of wind turbine noise and road traffic noise at three sound pressure levels (33, 38 and 43 dBA) in randomised order during established sleep. Acute (0-30 s) and more sustained (30-180 s) effects of noise presentations during N2 and N3 sleep were examined using spectral analysis of changes in electroencephalogram power frequency ranges across time in 5-s intervals. Both noise types produced time- and sound pressure level-dependent increases in electroencephalogram power, but with significant noise type by sound pressure level interactions in beta, alpha, theta and delta frequency bands (all p < 0.05). Wind turbine noise showed significantly lower delta, theta and beta activity immediately following noise onset compared with road traffic noise (all p < 0.05). However, alpha activity was higher for wind turbine noise played at lower sound pressure levels (33 dBA [p = 0.001] and 38 dBA [p = 0.003]) compared with traffic noise during N2 sleep. These findings support that spectral analyses show subtle effects of noise on sleep and that electroencephalogram changes following wind turbine noise and road traffic noise onset differ depending on sound pressure levels; however, these effects were mostly transient and had little impact on conventionally scored sleep. Further studies are needed to establish if electroencephalogram changes associated with modest environmental noise exposures have significant impacts on sleep quality and next-day functioning.
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Affiliation(s)
- Claire Dunbar
- College of Education, Psychology and Social Work, Flinders University of South Australia, Bedford Park, SA, Australia.,Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Peter Catcheside
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Bastien Lechat
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.,College of Engineering, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Kristy Hansen
- College of Engineering, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Branko Zajamsek
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Tessa Liebich
- College of Education, Psychology and Social Work, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Duc Phuc Nguyen
- College of Engineering, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Hannah Scott
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Leon Lack
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Felix Decup
- College of Engineering, Flinders University of South Australia, Bedford Park, SA, Australia
| | - Andrew Vakulin
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Gorica Micic
- Flinders Health and Medical Research Institute: Sleep Health (formerly Adelaide Institute for Sleep Health), College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
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9
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Lechat B, Scott H, Naik G, Hansen K, Nguyen DP, Vakulin A, Catcheside P, Eckert DJ. New and Emerging Approaches to Better Define Sleep Disruption and Its Consequences. Front Neurosci 2021; 15:751730. [PMID: 34690688 PMCID: PMC8530106 DOI: 10.3389/fnins.2021.751730] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/16/2021] [Indexed: 01/07/2023] Open
Abstract
Current approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise, laborious, and often do not relate well to key clinical and health outcomes. Newer emerging approaches that aim to overcome the practical and technical constraints of current sleep metrics have considerable potential to better explain sleep disorder pathophysiology and thus to more precisely align diagnostic, treatment and management approaches to underlying pathology. These include more fine-grained and continuous EEG signal feature detection and novel oxygenation metrics to better encapsulate hypoxia duration, frequency, and magnitude readily possible via more advanced data acquisition and scoring algorithm approaches. Recent technological advances may also soon facilitate simple assessment of circadian rhythm physiology at home to enable sleep disorder diagnostics even for “non-circadian rhythm” sleep disorders, such as chronic insomnia and sleep apnea, which in many cases also include a circadian disruption component. Bringing these novel approaches into the clinic and the home settings should be a priority for the field. Modern sleep tracking technology can also further facilitate the transition of sleep diagnostics from the laboratory to the home, where environmental factors such as noise and light could usefully inform clinical decision-making. The “endpoint” of these new and emerging assessments will be better targeted therapies that directly address underlying sleep disorder pathophysiology via an individualized, precision medicine approach. This review outlines the current state-of-the-art in sleep and circadian monitoring and diagnostics and covers several new and emerging approaches to better define sleep disruption and its consequences.
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Affiliation(s)
- Bastien Lechat
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Hannah Scott
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Ganesh Naik
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Kristy Hansen
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Duc Phuc Nguyen
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Andrew Vakulin
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Peter Catcheside
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
| | - Danny J Eckert
- Adelaide Institute for Sleep Health, Flinders University, Bedford Park, SA, Australia
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A Novel EEG Derived Measure of Disrupted Delta Wave Activity during Sleep Predicts All-Cause Mortality Risk. Ann Am Thorac Soc 2021; 19:649-658. [PMID: 34672877 DOI: 10.1513/annalsats.202103-315oc] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
RATIONALE Conventional markers of sleep disturbance, based on manual electroencephalography scoring, may not adequately capture important features of more fundamental electroencephalography-related sleep disturbance. OBJECTIVES This study aimed to determine if more comprehensive power-spectral measures of delta wave activity during sleep are stronger independent predictors of mortality than conventional sleep quality and disturbance metrics. METHODS Power spectral analysis of the delta frequency band and spectral entropy-based markers to quantify disruption of electroencephalography delta power during sleep were performed to examine potential associations with mortality risk in the Sleep Heart Health Study cohort (N = 5804). Adjusted Cox proportional hazard models were used to determine the association between disrupted delta wave activity at baseline and all-cause mortality over an ~11y follow-up period. RESULTS Disrupted delta electroencephalography power during sleep was associated with a 32% increased risk of all-cause mortality compared with no fragmentation (hazard ratios 1.32 [95% confidence interval 1.14, 1.50], after adjusting for total sleep time and other clinical and life-style related covariates including sleep apnea. The association was of similar magnitude to a reduction in total sleep time from 6.5h to 4.25h. Conventional measures of sleep quality, including wake after sleep onset and arousal index were not predictive of all-cause mortality. CONCLUSIONS Delta wave activity disruption during sleep is strongly associated with all-cause mortality risk, independent of traditional potential confounders. Future investigation into the potential role of delta sleep disruption on other specific adverse health consequences such as cardiometabolic, mental health and safety outcomes has considerable potential to provide unique neurophysiological insight.
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