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.

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.

scholarly journals Road Traffic Noise, Air Pollutants, and the Prevalence of Cardiovascular Disease in Taichung, Taiwan

2018 ◽  
Vol 15 (8) ◽  
pp. 1707 ◽  
Author(s):  
Wei-Ting Yang ◽  
Ven-Shing Wang ◽  
Li-Te Chang ◽  
Kai-Jen Chuang ◽  
Hsiao-Chi Chuang ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Air Pollutants ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Cross Sectional ◽  
Exposure Models ◽  
Noise Measurements

Background: A few studies have investigated the interaction between exposure to road traffic noise, air pollutants, and cardiovascular disease (CVD), but their results were inconsistent. This cross-sectional study investigated whether road traffic noise, particulate matter with dynamic diameter less than 10 μm (PM10) and nitrogen dioxides (NO2) exposure were independently associated with the risk of CVD. Methods: We recruited 663 volunteers who had been living near main roads for more than three years in 2008. Information concerning the subjects’ home addresses was combined with noise measurements at 42 locations and annual average of air pollutants from 2 monitoring stations to estimate individual exposure. Multivariate logistic regression was used to calculate the odds ratio (OR) for diagnosed CVD, adjusting for potential confounders and co-exposure. Results: Only per 5-dBA increase in road traffic noise was significantly associated with elevated risk of CVD (adjusted OR = 2.23, 95% confidence interval (CI) = 1.26–3.93) in the single-exposure models. Such association was aggravated (adjusted OR = 2.96, 95% CI = 1.41–6.23) after adjustment for total traffic and PM10 or NO2 in the two-exposure models. Conclusions: Road traffic noise exposure may be associated with the increasing prevalence of CVD. No synergistic association was observed between co-exposure to noise and air pollutants and the risk of CVD.

scholarly journals Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis

2019 ◽  
Vol 16 (21) ◽  
pp. 4134 ◽  
Author(s):  
Angel M. Dzhambov ◽  
Peter Lercher
Keyword(s):  
Systematic Review ◽  
Noise Exposure ◽  
Road Traffic ◽  
Meta Analysis ◽  
Traffic Noise ◽  
World Health ◽  
Sensitivity Analyses ◽  
Road Traffic Noise ◽  
Qualitative Synthesis ◽  
Cross Sectional

Unlike other World Health Organization evidence reviews, the systematic review on mental disorders could not provide a quantitative estimate of the effect of environmental noise. With that in mind, we aimed to update it with additional studies published through to 18 August 2019 in order to allow for a formal meta-analysis of the association of residential road traffic noise with anxiety and depression. The quality effects and random effects estimators were used for meta-analysis and the robustness of findings was tested in several sensitivity analyses. Ten studies were included in the qualitative synthesis, from which we extracted 15 estimates for depression (n = 1,201,168) and five for anxiety (n = 372,079). Almost all studies were cross-sectional and the risk of bias in them was generally high. We found 4% (95% CI: −3%, 11%) higher odds of depression and 12% (95% CI: −4%, 30%) of anxiety associated with a 10 dB(A) increase in day–evening–night noise level (Lden). Both models suffered from moderate heterogeneity (55% and 54%), but there was evidence of publication bias only in the depression model. These findings were robust with no evidence of study-level moderators. A sensitivity analysis on an alternative set of categorically-reported estimates supported a linear relationship between Lden and depression. Taking into account an overall quality assessment for the included studies, we conclude that there is evidence of “very low” quality that increasing exposure to road traffic noise may be associated with depression and anxiety.

scholarly journals Representative Exposure–Annoyance Relationships Due to Transportation Noises in Japan

2021 ◽  
Vol 18 (20) ◽  
pp. 10935
Author(s):  
Shigenori Yokoshima ◽  
Makoto Morinaga ◽  
Sohei Tsujimura ◽  
Koji Shimoyama ◽  
Takashi Morihara
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Aircraft Noise ◽  
Road Traffic Noise ◽  
Micro Data ◽  
Military Aircraft ◽  
Response Curves ◽  
Railway Noise ◽  
Civil Aircraft

This paper focuses on clarifying the relationship between noise exposure and the prevalence of highly annoyed people due to transportation noise in Japan. The authors accumulated 34 datasets, which were provided by Socio-Acoustic Survey Data Archive and derived from the other surveys conducted in Japan. All the datasets include the following micro-data: demographic factors, exposure, and annoyance data associated with specific noise sources. We performed secondary analyses using micro-data and established the relationships between noise exposure (Lden) and the percentage of highly annoyed people (%HA) for the following noise source: road traffic, conventional railway, Shinkansen railway, civil aircraft, and military aircraft noises. Among the five transportation noises, %HA for the military aircraft noise is the highest, followed by civil aircraft noise and Shinkansen railway noise. The %HA for conventional railway noise was higher than that for road traffic noise. To validate the representativeness of the exposure–response curves, we have discussed factors affecting the difference in annoyance. In addition, comparing the Japanese relationship with that shown in the “Environmental Noise Guidelines for the European Region,” we revealed that Japanese annoyance is higher than the WHO-reported annoyance.

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