scholarly journals Road traffic noise and hypertension: results from a cross-sectional public health survey in southern Sweden

2009 ◽  
Vol 8 (1) ◽  
Author(s):  
Theo Bodin ◽  
Maria Albin ◽  
Jonas Ardö ◽  
Emilie Stroh ◽  
Per-Olof Östergren ◽  
...  
Keyword(s):  
Public Health ◽  
Health Survey ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Southern Sweden ◽  
Cross Sectional ◽  
Public Health Survey

scholarly journals Combined Effects of Aircraft, Rail, and Road Traffic Noise on Total Noise Annoyance—A Cross-Sectional Study in Innsbruck

2019 ◽  
Vol 16 (18) ◽  
pp. 3504 ◽  
Author(s):  
Lechner ◽  
Schnaiter ◽  
Bose-O’Reilly
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Cumulative Effect ◽  
Assessment Model ◽  
Road Traffic Noise ◽  
Cross Sectional ◽  
Exposure Response ◽  
Noise Annoyance ◽  
Total Noise ◽  
Noise Assessment

Noise legislation in Austria does not provide an assessment of the cumulative effect of noise from different sources. The desire of citizens for a total noise assessment is getting stronger. Within the pilot project “Gesamtlärmbetrachtung” (Total Noise Investigation) Innsbruck, data from 1031 face-to-face interviews were correlated with exposure data from road, rail and air traffic noise. The interviews were selected in clusters according to the exposure combinations of these three sources. In addition to exposure-response relationships, it has also been found that the annoyance response to air and rail traffic noise is independent of the background noise from road traffic. The total noise annoyance response shows a cumulative effect in each source considered. From the source specific exposure-response relationships, a total noise assessment model based on the annoyance equivalents model was developed. This model is more suitable than the dominant source model and thus also considerable for legal application.

scholarly journals Effects of Motorcycle Noise on Annoyance—A Cross-Sectional Study in the Alps

2020 ◽  
Vol 17 (5) ◽  
pp. 1580
Author(s):  
Christoph Lechner ◽  
David Schnaiter ◽  
Uwe Siebert ◽  
Stephan Böse-O’Reilly
Keyword(s):  
State Government ◽  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Response Curves ◽  
Cross Sectional ◽  
Exposure Response ◽  
Background Exposure ◽  
Noise Assessment

Motorcycle noise is an increasing noise problem, especially in Alpine valleys with winding roads and low environmental noise. The annoyance response to motorcycle engine noise is extraordinarily high in comparison to other traffic noise and cannot be explained by standard noise assessment curves. Therefore, the Tyrolean state government decided to initiate a multi-purpose study. Exposures were calculated based on sound-measurements taken across the entire district of Reutte in the western part of the State of Tyrol and a telephone survey (n = 545) was conducted with regional participants. The influence of demographic characteristics; sensitivity to noise; attitudes towards motorcycles and background noise on the annoyance was examined using bivariate analyses. In addition; exposure-response curves and their 95% confidence intervals with cut-off points of 60% and 72% for “highly annoyed” were created. The exposure annoyance response curves for motorcycle noise show a shift of more than 30 dB in annoyance reaction compared to other road traffic noise. The annoyance response to motorcycle noise in this Alpine region is concentrated on summer Sundays and Saturdays and is independent of the background exposure caused by other road traffic

Investigation of Road-Traffic Noise and Annoyance in Beijing: A Cross-Sectional Study of 4th Ring Road

2008 ◽  
Vol 63 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Hui-Juan Li ◽  
Wen-Bo Yu ◽  
Jing-Qiao Lu ◽  
Lin Zeng ◽  
Nan Li ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Sectional Study ◽  
Cross Sectional ◽  
Ring Road

Exposure to long-term air pollution and road traffic noise in relation to cholesterol: A cross-sectional study

2015 ◽  
Vol 85 ◽  
pp. 238-243 ◽  
Author(s):  
Mette Sørensen ◽  
Dorrit Hjortebjerg ◽  
Kirsten T. Eriksen ◽  
Matthias Ketzel ◽  
Anne Tjønneland ◽  
...  
Keyword(s):  
Air Pollution ◽  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Road traffic noise and health-related quality of life: A cross-sectional study

2013 ◽  
Vol 15 (65) ◽  
pp. 224 ◽  
Author(s):  
David Welch ◽  
Daniel Shepherd ◽  
David McBride ◽  
KimN Dirks ◽  
Samantha Marsh
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Health Related Quality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related

scholarly journals Road traffic noise frequency and prevalent hypertension in Taichung, Taiwan: A cross-sectional study

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Ta-Yuan Chang ◽  
Rob Beelen ◽  
Su-Fei Li ◽  
Tzu-I Chen ◽  
Yen-Ju Lin ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Cross Sectional Study ◽  
Road Traffic Noise ◽  
Sectional Study ◽  
Cross Sectional ◽  
Noise Frequency

Road traffic noise in southern Sweden and its relation to annoyance, disturbance of daily activities and health

2006 ◽  
Vol 32 (5) ◽  
pp. 392-401 ◽  
Author(s):  
Jonas Björk ◽  
Jonas Ardö ◽  
Emilie Stroh ◽  
Håkan Lövkvist ◽  
Per-Olof Östergren ◽  
...  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Daily Activities ◽  
Road Traffic Noise ◽  
Southern Sweden

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.

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