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      Relationship of Transportation Noise and Annoyance for Two Metropolitan Cities in Korea: Population Based Study

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          Abstract

          Transportation noise is known to have negative impact on both public health and life quality. This study evaluated the relationship between transportation noise and annoyance levels, and also the difference of annoyance levels in two metropolitan cities based on epidemiologic surveys. Two thousand adult subjects living in Seoul and Ulsan were enrolled by stratified random sampling on the basis of noise maps from July 2015 to January 2016. Individual annoyance in accordance with transportation noise levels in two metropolitan cities were surveyed using an 11-point visual analog scale questionnaire. The results show that transportation noise level was significantly correlated with annoyance in both cities. Logistic regression analysis revealed that the risk of being ‘highly annoyed’ increased with noise level (L dn, day-night average sound level) in both cities. After adjusting for age, residence period, sociodemographic factors (sex, education, marriage, income, alcohol, smoking, and exercise) and noise sensitivity, the risk of being ‘highly annoyed’ was increased with noise levels in both cities. In comparison to those of areas with noise levels below 55 dBA, the adjusted odds ratios of ‘highly annoyed’ for areas with 55–65 dBA and over 65 dBA were 2.056 (95% confidence interval [CI] 1.225–3.450), 3.519 (95% CI 1.982–6.246) in Seoul and 1.022 (95% CI 0.585–1.785), 1.704 (95% CI 1.005–2.889) in Ulsan, respectively. Based on the results of a population study, we showed that transportation noise levels were significantly associated with annoyance in adults. However, there were some differences between the two cities. In this study, there were differences in transportation noise between the two cities. Seoul has complex noise (traffic and aircraft), compared to single road traffic noise in Ulsan. Therefore, single and complex transportation noise may have different effects on annoyance levels.

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          Most cited references19

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          Cardiovascular effects of environmental noise exposure

          The role of noise as an environmental pollutant and its impact on health are being increasingly recognized. Beyond its effects on the auditory system, noise causes annoyance and disturbs sleep, and it impairs cognitive performance. Furthermore, evidence from epidemiologic studies demonstrates that environmental noise is associated with an increased incidence of arterial hypertension, myocardial infarction, and stroke. Both observational and experimental studies indicate that in particular night-time noise can cause disruptions of sleep structure, vegetative arousals (e.g. increases of blood pressure and heart rate) and increases in stress hormone levels and oxidative stress, which in turn may result in endothelial dysfunction and arterial hypertension. This review focuses on the cardiovascular consequences of environmental noise exposure and stresses the importance of noise mitigation strategies for public health.
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            Stress Recovery during Exposure to Nature Sound and Environmental Noise

            Research suggests that visual impressions of natural compared with urban environments facilitate recovery after psychological stress. To test whether auditory stimulation has similar effects, 40 subjects were exposed to sounds from nature or noisy environments after a stressful mental arithmetic task. Skin conductance level (SCL) was used to index sympathetic activation, and high frequency heart rate variability (HF HRV) was used to index parasympathetic activation. Although HF HRV showed no effects, SCL recovery tended to be faster during natural sound than noisy environments. These results suggest that nature sounds facilitate recovery from sympathetic activation after a psychological stressor.
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              Annoyance from transportation noise: relationships with exposure metrics DNL and DENL and their confidence intervals.

              We present a model of the distribution of noise annoyance with the mean varying as a function of the noise exposure. Day-night level (DNL) and day-evening-night level (DENL) were used as noise descriptors. Because the entire annoyance distribution has been modeled, any annoyance measure that summarizes this distribution can be calculated from the model. We fitted the model to data from noise annoyance studies for aircraft, road traffic, and railways separately. Polynomial approximations of relationships implied by the model for the combinations of the following exposure and annoyance measures are presented: DNL or DENL, and percentage "highly annoyed" (cutoff at 72 on a scale of 0-100), percentage "annoyed" (cutoff at 50 on a scale of 0-100), or percentage (at least) "a little annoyed" (cutoff at 28 on a scale of 0-100). These approximations are very good, and they are easier to use for practical calculations than the model itself, because the model involves a normal distribution. Our results are based on the same data set that was used earlier to establish relationships between DNL and percentage highly annoyed. In this paper we provide better estimates of the confidence intervals due to the improved model of the relationship between annoyance and noise exposure. Moreover, relationships using descriptors other than DNL and percentage highly annoyed, which are presented here, have not been established earlier on the basis of a large dataset.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 December 2016
                2016
                : 11
                : 12
                : e0169035
                Affiliations
                [001]Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Rep of Korea
                West Virginia University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: JHS CSS JH.

                • Data curation: JHS SJP.

                • Formal analysis: JHS SJP.

                • Funding acquisition: CSS.

                • Investigation: JHS CSS.

                • Methodology: JHS CSS.

                • Project administration: CSS.

                • Resources: JHS CSS SJP.

                • Supervision: CSS JL.

                • Visualization: JHS.

                • Writing – original draft: JHS.

                • Writing – review & editing: JHS CSS JL.

                Article
                PONE-D-16-34692
                10.1371/journal.pone.0169035
                5179245
                28005976
                08c1e455-afe1-4b03-be6f-300a0946caf3
                © 2016 Sung et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 August 2016
                : 10 December 2016
                Page count
                Figures: 2, Tables: 3, Pages: 10
                Funding
                Funded by: Korea Ministry of Environment
                Award ID: 2014001350001
                Award Recipient :
                Funded by: Korea Ministry of Environment
                Award ID: 2014001350001
                Award Recipient :
                This study was funded by the Korea Ministry of Environment (MOE) as “the Environmental Health Action Program.” CSS and JHS received funding from Korea Ministry of Environment (grant number 2014001350001) (URL: http://www.me.go.kr/home/web/main.do). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Engineering and Technology
                Transportation
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Medicine and Health Sciences
                Health Care
                Environmental Health
                Medicine and Health Sciences
                Public and Occupational Health
                Environmental Health
                Engineering and Technology
                Transportation
                Aircraft
                Biology and Life Sciences
                Behavior
                Habits
                Smoking Habits
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Regression Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Regression Analysis
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Alcohols
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Alcohols
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Statistical Hypothesis Testing
                Chi Square Tests
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Statistical Hypothesis Testing
                Chi Square Tests
                Custom metadata
                The data that support the findings of this study are available from the Korea Ministry of Environment (MOE) and are included within the manuscript and its supporting information file. This file contains all data to reach the conclusions drawn in the manuscript. If another researcher has an interest in this data, please contact the corresponding author.

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