Background: Exposure to road traffic noise has been associated with adiposity and diabetes in adults. The suggested pathways have been through sleep disturbance and stress. Children may be particularly susceptible to noise induced sleep disturbance and stress and the effects hereof.
Objectives: To examine the association between traffic noise exposure during pregnancy and early childhood and adiposity in children.
Methods: We identified 40,974 singletons from the Danish National Birth Cohort with parentally given questionnaire information on weight and height at 7-years of age. Road and railway traffic noise were modeled at all historical addresses and expressed as time-weighted means for two exposure periods (pregnancy and childhood). Adiposity was assessed using BMI z-scores and a dichotomous measure of childhood overweight based on age and sex specific cut-offs. Associations were analyzed using linear regression for BMI z-scores and logistic regression for risk of childhood overweight, adjusting for socioeconomic position, maternal BMI, maternal smoking, maternal age, parity and degree of urbanization.
Results: We found both pregnancy and childhood exposure to road traffic noise to be associated with a higher risk for childhood overweight (odds ratio (OR)=1.06 per 10dB, 95% confidence interval (CI): 1.00-1.12 for exposure during pregnancy and OR=1.06 per 10dB, 95% CI: 0.99-1.12 for childhood exposure). There were no associations between road traffic noise and BMI z-scores. We found no associations between railway noise and adiposity.
Conclusions: We found suggestions of a positive association between road traffic noise and risk of overweight in 7-years old children.
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http://dx.doi.org/10.1016/j.envint.2016.05.016 | DOI Listing |
The explosive growth of mobile data traffic and the demands of 6 G networks for ultra-high data rates and low latency necessitate advanced infrastructure solutions. One promising approach is the implementation of radio-over-fiber (RoF)-based distributed antenna systems (DAS), which can efficiently transmit radio frequency signals over optical fiber, especially in dense indoor environments. However, analog RoF systems face challenges, including noise, nonlinearities, and power fading caused by chromatic dispersion.
View Article and Find Full Text PDFPLoS One
January 2025
State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China.
This study tried to focus on the older drivers' group and explore the impact factors of injury severity involving older drivers from geo-spatial analysis. To reach the goal, a spatial analysis was proposed employing geographic information systems (GIS) with a case study application to two counties in Nevada. First, crash clusters were explored using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) approach to investigate the spatial crash pattern for older drivers, and determine high risk locations of injury severity.
View Article and Find Full Text PDFAntioxidants (Basel)
January 2025
Laboratory of Molecular Cardiology, Department of Cardiology 1, University Medical Center of the Johannes Gutenberg-University, 55131 Mainz, Germany.
Noise pollution is a known health risk factor and evidence for cardiovascular diseases associated with traffic noise is growing. At least 20% of the European Union's population lives in noise-polluted areas with exposure levels exceeding the recommended limits of the World Health Organization, which is considered unhealthy by the European Environment Agency. This results in the annual loss of 1.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Civil Engineering, National Institute of Technology, Mizoram, India.
Chronic exposure to traffic noise is associated with increased stress and sleep disruptions. Research on the health consequences of environmental noise, specifically traffic noise, has primarily been conducted in high-income countries (HICs), which have guided the development of noise regulations. The relevance of these findings to policy frameworks in low- and middle-income countries (LMICs) remains uncertain.
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Since traffic flow has not been generated, a traffic noise prediction model based on actual traffic state data cannot be directly applied to the planned road network. Therefore, a regional traffic noise prediction method is proposed to find the upper limit of network noise emission based on design elements. The model is developed with noise predictions of the basic road section, interrupted/continuous intersections, and regional network.
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