Sleep disturbance by road traffic noise—A laboratory study on number of noise events

1990 ◽  
Vol 143 (1) ◽  
pp. 93-101 ◽  
Author(s):  
E. Öhström ◽  
R. Rylander
Keyword(s):  
Sleep Disturbance ◽  
Laboratory Study ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise

scholarly journals Exposure to road traffic noise and children's behavioural problems and sleep disturbance: Results from the GINIplus and LISAplus studies

2013 ◽  
Vol 123 ◽  
pp. 1-8 ◽  
Author(s):  
Carla M.T. Tiesler ◽  
Matthias Birk ◽  
Elisabeth Thiering ◽  
Gabriele Kohlböck ◽  
Sibylle Koletzko ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Road Traffic ◽  
Traffic Noise ◽  
Behavioural Problems ◽  
Road Traffic Noise

scholarly journals Sleep Disturbance and Noise Annoyance and Environmental Noise Exposure in Residents of Two Major Slovakian Cities

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
L. Argalasova ◽  
T. Kimakova ◽  
E. Panulinova ◽  
A. Filova ◽  
A. Pultznerova ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Environmental Noise ◽  
Road Traffic Noise ◽  
Noise Annoyance ◽  
Exposure Category ◽  
The Impact ◽  
Lower Noise

Abstract The significant growth in traffic density in Slovakia, combined with the country’s economic change, has resulted in new environmental noise issues, particularly in road traffic noise. The objective of this study was to assess and evaluate the impact of environmental noise on the psychosocial well-being of young healthy individuals in the two main Slovak cities of Bratislava and Kosice. To assess noise annoyance, interference with activities, and sleep disturbance, the ICBEN (The International Commission on the Biological Effects of Noise) anonymous validated “Noise annoyance questionnaire” was applied; noise levels were objectified by direct measurements using a sound level analyzer with a frequency analysis module. Young individuals between the ages of 20 and 30 were interviewed in Bratislava (533 respondents, 155 males) and Kosice (355 respondents, 111 males). The majority of the respondents in both cities were exposed to medium levels of road traffic noise LAeq ≥ 60 dB. In Bratislava, 27.82 % of respondents resided in the higher noise exposure category LAeq ≥ 70 dB, while in Kosice, 39.9 % resided in the lower noise exposure category LAeq < 50 dB. Road traffic noise annoys respondents in the higher noise exposure category in Bratislava 63.51 %, and even in the lower noise exposure category in Kosice, it interferes with reading and mental work, sleep and falling asleep 46.51 %. The study has identified traffic noise as an environmental issue in large cities, emphasizing the need for vulnerable individuals to be protected, particularly at night.

Exposure to Road Traffic Noise and Children’s Behavioural Problems and Sleep Disturbance: Results from the GINIplus and LISAplus Studies

2013 ◽  
Vol 2013 (1) ◽  
pp. 3496
Author(s):  
Carla M T Tiesler ◽  
Matthias Birk ◽  
Elisabeth Thiering ◽  
Gabriele Kohlböck ◽  
Sibylle Koletzko ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Road Traffic ◽  
Traffic Noise ◽  
Behavioural Problems ◽  
Road Traffic Noise

scholarly journals The Public Health Impact of Road-Traffic Noise in a Highly-Populated City, Republic of Korea: Annoyance and Sleep Disturbance

2018 ◽  
Vol 10 (8) ◽  
pp. 2947 ◽  
Author(s):  
Taeho Park ◽  
Minho Kim ◽  
Chaemi Jang ◽  
Taeryang Choung ◽  
Kyung-A Sim ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Sleep Disturbance ◽  
Internal Combustion Engines ◽  
Road Traffic ◽  
Traffic Noise ◽  
Republic Of Korea ◽  
Road Traffic Noise ◽  
Noise Levels ◽  
High Level ◽  
The City

Sustainable transportation is an essential part of a sustainable city; however, modern transportation systems with internal-combustion engines emits unacceptably high level of air-pollutants and noise. It is recognized widely that road-traffic noise has negative health impacts (such as annoyance and sleep disturbance) on exposed population in highly-populated cities. These harmful effects should be removed or at least reduced to guarantee the sustainability of modern cities. The estimation of pollutant levels at a specific location and the extent of the damage is therefore important for policy makers. This study presents a procedure to determine the levels of road-traffic noise at both day and night, and an assessment of the adverse health effects across Gwangju Metropolitan City (GMC), Republic of Korea (ROK). Road-traffic noise maps in 2-D and 3-D were generated, in order to find spatial distribution of noise levels across the city and noise level at the façade of a building-floor, respectively. The adoption of existing assessment models for the highly-annoyed (%HA) and highly-sleep-disturbed (%HSD) leads to building-based estimation of the affected population and spatial distribution of the road networks of the city. Very high noise levels were found to exist along major roads in the day and at night, with little difference between them. As a result, approximately 10% and 5% of the total population (n = 1,471,944) were estimated to experience high-level annoyance and sleep disturbance, respectively.

The effects of long-term exposure to railway and road traffic noise on subjective sleep disturbance

2010 ◽  
Vol 128 (5) ◽  
pp. 2829-2835 ◽  
Author(s):  
Jiyoung Hong ◽  
Jaehwan Kim ◽  
Changwoo Lim ◽  
Kyutae Kim ◽  
Soogab Lee
Keyword(s):  
Sleep Disturbance ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Subjective Sleep

scholarly journals The Burden of Disease Due to Road Traffic Noise in Hesse, Germany

2021 ◽  
Vol 18 (17) ◽  
pp. 9337
Author(s):  
Janice Hegewald ◽  
Melanie Schubert ◽  
Matthias Lochmann ◽  
Andreas Seidler
Keyword(s):  
Cardiovascular Disease ◽  
Heart Disease ◽  
Sleep Disturbance ◽  
Dose Response ◽  
Burden Of Disease ◽  
Depressive Disorders ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Response Functions

Road-traffic-noise exposition is widespread in Germany and can have harmful health effects. As guidance for informed decision-making, we estimated the environmental burden of disease attributable to road-traffic noise in Hesse, Germany as disability-adjusted life-years (DALYs). Using detailed road-traffic-noise exposure data provided by the Hessian Agency for Nature Conservation, Environment, and Geology (HLNUG), we calculated the DALYs due to road-traffic noise > 40 dB(A) L24h (unweighted average 24 h noise level) and other noise metrics for endpoints with known dose-response functions and evidence in the literature (NORAH-study on disease risks and WHO reviews): cardiovascular disease, depressive disorders, road-traffic annoyance, and sleep disturbance. We calculated the population-attributable fractions (PAF) for road-noise-related cardiovascular disease (hypertensive heart disease, ischemic heart disease, and stroke) and depressive disorders in the population using published relative risk estimates. We multiplied the PAFs with the Hessian proportion of the 2015 WHO DALY estimates for Germany in people aged ≥ 40 years. For high annoyance and high sleep disturbance, we used published dose-response functions to determine the burden for residents of all ages. For Hesse, we found a total of 26,501 DALYs attributable to road-traffic noise or 435 DALY per 100,000 persons for the reference year, 2015. Further, we estimated that a hypothetic uniform road-traffic-noise reduction of 3 dB would prevent 23% of this burden of disease.

EEG power spectral responses to wind farm compared with road traffic noise during sleep: A laboratory study

2021 ◽  
Author(s):  
Claire Dunbar ◽  
Peter Catcheside ◽  
Bastien Lechat ◽  
Kristy Hansen ◽  
Branko Zajamsek ◽  
...  
Keyword(s):  
Laboratory Study ◽  
Wind Farm ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Power Spectral ◽  
Eeg Power ◽  
Spectral Responses

scholarly journals Self-Reported Sleep Disturbance from Road, Rail and Aircraft Noise: Exposure-Response Relationships and Effect Modifiers in the SiRENE Study

2019 ◽  
Vol 16 (21) ◽  
pp. 4186 ◽  
Author(s):  
Brink ◽  
Schäffer ◽  
Vienneau ◽  
Pieren ◽  
Foraster ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Aircraft Noise ◽  
Self Report ◽  
Road Traffic Noise ◽  
Cross Sectional ◽  
Sleep Timing ◽  
Window Position

This survey investigates the cross-sectional association between nighttime road, rail and aircraft noise exposure and the probability to be highly sleep disturbed (%HSD), as measured by self-report in postal and online questionnaires. As part of the Swiss SiRENE study, a total of 5592 survey participants in the entire country were selected based on a stratified random sample of their dwelling. Self-reported sleep disturbance was measured using an ICBEN-style 5-point verbal scale. The survey was carried out in four waves at different times of the year. Source-specific noise exposure was calculated for several façade points for each dwelling. After adjustment for potential confounders, all three noise sources showed a statistically significant association between the nighttime noise level LNight at the most exposed façade point and the probability to report high sleep disturbance, as determined by logistic regression. The association was strongest for aircraft noise and weakest for road traffic noise. We a priori studied the role of a range of effect modifiers, including the “eventfulness” of noise exposure, expressed as the Intermittency Ratio (IR) metric, bedroom window position, bedroom orientation towards the closest street, access to a quiet side of the dwelling, degree of urbanization, sleep timing factors (bedtime and sleep duration), sleep medication intake, survey season and night air temperature. While bedroom orientation exhibited a strong moderating effect, with an Leq-equivalent of nearly 20 dB if the bedroom faces away from the nearest street, the LNight-%HSD associations were not affected by bedroom window position, sleep timing factors, survey season, or temperature.

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