Current Traffic Noise Exposure Assessment and Noise Effect of Distraction in Class Among Children in Xiʼan City

Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S119
Author(s):  
Junhan Liu ◽  
Xiaochuan Pan
2012 ◽  
Vol 23 (5) ◽  
pp. 531-538 ◽  
Author(s):  
Charlotta Eriksson ◽  
Mats E Nilsson ◽  
Dag Stenkvist ◽  
Tom Bellander ◽  
Göran Pershagen

2013 ◽  
Vol 40 (2) ◽  
Author(s):  
Ni Ketut Susilawati ◽  
Wayan Sudana ◽  
Eka Putra Setiawan

Background: Noise pollution or noise is an unwanted sound which is disturbing to human beings.However small or soft the sound, if it is undesirable it is considered as noise. Noise induced hearingloss is a sensorineural hearing loss that is commonly encountered second to presbycusis. Purpose: Toknow the effect of traffic noise exposure on hearing impairment to the employees of the Parking DistrictCompany of the Denpasar city and to improve diagnostic detection on hearing impairment caused bynoise. Method: A cross sectional study was conducted at the Parking District Company office. Thepopulations of this study were the employees of the Parking District Company. Samples of this study were the employees who were exposed to traffic noise and control samples were an employee who was unexposed. Samples were selected by simple random sampling. Results: From 40 parking attendants,27 persons (67.5%) aged above 35 years old. The parking attendants who had been working for ten to fifteen years were 36 persons (90%) and no history using ear protection when working. Seven persons(17.5%) had referred DPOAE upon examination with increase hearing threshold on audiogram result.In this study the parking attendants who had hearing deficit induced by noise were 7 persons (17.5%)and only one person (2.5%) in control group. There was a statistically significant effect of traffic noiseto hearing function deficit (p<0.05). Conclusion: Traffic noise has effect in hearing function deficit onthe parking attendants.ORLI Vol. 40 No. 2 Tahun 2010Key words: NIHL, parking attendant, audiometry, DPOAE.


2021 ◽  
Vol 7 (20) ◽  
pp. eabe2405
Author(s):  
Henrik Brumm ◽  
Wolfgang Goymann ◽  
Sébastien Derégnaucourt ◽  
Nicole Geberzahn ◽  
Sue Anne Zollinger

Noise pollution has been linked to learning and language deficits in children, but the causal mechanisms connecting noise to cognitive deficiencies remain unclear because experimental models are lacking. Here, we investigated the effects of noise on birdsong learning, the primary animal model for vocal learning and speech development in humans. We found that traffic noise exposure retarded vocal development and led to learning inaccuracies. In addition, noise suppressed immune function during the sensitive learning period, indicating that it is a potent stressor for birds, which is likely to compromise their cognitive functions. Our results provide important insights into the consequences of noise pollution and pave the way for future studies using birdsong as an experimental model for the investigation of noise-induced learning impairments.


2021 ◽  
Vol 181 ◽  
pp. 108143
Author(s):  
Robson Silva Passos ◽  
Cecília Alexandra Abreu Coelho da Rocha ◽  
António Pedro Oliveira de Carvalho ◽  
Luiz Bueno da Silva ◽  
Ricardo Luís Alves da Silva

Noise Mapping ◽  
2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Ioannis Karipidis ◽  
Danielle Vienneau ◽  
Manuel Habermacher ◽  
Micha Köpflii ◽  
Mark Brink ◽  
...  

AbstractIn 2014 the three-year interdisciplinary study SiRENE (Short and Long Term Effects of Traffic Noise Exposure) was launched in Switzerland. The goal of SiRENE is to investigate acute, short- and long-term e_ects of road, railway and aircraft noise exposure on annoyance, sleep disturbances and cardio-metabolic risk.The study is based on a detailed Swiss-wide assessment of transportation noise exposure, including diurnal distributions. The exposure analysis comprises current as well as historical exposure calculations for up to 20 years in the past.We present the major challenges of compiling sufficient data to support a Swiss-wide model for all buildings and including all transport infrastructure as a basis for the subsequent SiRENE sound exposure analysis for the years 2011, 2001 and 1991. The task is particularly challenging for the early years due to poor data quality and/or lack of availability. We address the integration of geo-referenced input datasets from various sources and time periods, the assignment of tra_c noise exposure from façade points to dwelling units, as well as the processing of traffic information and statistics. Preliminary results of the noise exposure calculations are presented.


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