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Background: Transportation noise seems to impair self-reported health status (SRHS). However, only a few studies have considered the role of noise annoyance and noise sensitivity in this deleterious effect. This study aims investigating mediator and moderator roles of noise annoyance and noise sensitivity.
Methods: In 2013, the DEBATS longitudinal study included 1244 participants aged over 18 years and living around three French airports. These participants were followed up in 2015 and 2017. They self-reported their perceived health status, aircraft noise annoyance, and their noise sensitivity via a questionnaire during the three visits. Noise maps were used to estimate aircraft noise levels at the facade of participants' residence. Generalized linear mixed models with a random intercept at the participant level were used.
Results: Aircraft noise levels were associated with severe annoyance. Severe annoyance tent to be associated with impaired SRHS. Aircraft noise levels were associated with impaired SRHS only in men (odds ratio [OR] = 1.47, 95% confidence interval [CI] = [1.02, 2.11], for a 10-dBA L increase in aircraft noise levels) with a weaker association adjusted for annoyance (OR = 1.36, 95% CI = [0.94, 1.98]). The association was stronger in men who reported high noise sensitivity (OR = 1.84, 95% CI = [0.92, 3.70], versus OR = 1.39, 95% CI = [0.90, 2.14], for men who were not highly sensitive to noise).
Conclusion: From our results, the deleterious effect of aircraft noise on SRHS could be mediated by noise annoyance and moderated by noise sensitivity. Further studies using causal inference methods are needed for identifying causal effect of exposure, mediator, and moderator.
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http://dx.doi.org/10.4103/nah.nah_1_23 | DOI Listing |
Blood Press
December 2025
1st Department of Cardiology, Interventional Electrocardiology and Arterial Hypertension, Jagiellonian University Medical College, Kraków, Poland.
Background: Transportation noise seems to be inherent in modern urban living. However, many studies indicate that it can unfavorably affect human health, especially by influencing the cardiovascular outcome. The large number of people exposed to noise in the European Union becomes relevant to public health.
View Article and Find Full Text PDFEur J Prev Cardiol
September 2025
Department of Social Work, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Sensors (Basel)
August 2025
School of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.
Driven by the increasing global population and rapid urbanization, aircraft noise pollution has emerged as a significant environmental challenge, impeding the sustainable development of the aviation industry. Traditional noise prediction methods are limited by incomplete datasets, insufficient spatiotemporal consistency, and poor adaptability to complex meteorological conditions, making it difficult to achieve precise noise management. To address these limitations, this study proposes a novel noise prediction framework based on a hybrid Convolutional Neural Network-Bidirectional Long Short-Term Memory-Attention (CNN-BiLSTM-Attention) model.
View Article and Find Full Text PDFInt J Environ Res Public Health
August 2025
Department of Architecture, National Institute of Technology, Ishikawa College, Tsubata 929-0392, Japan.
This study examines the impact of aircraft noise on annoyance and sleep disturbances among residents near Tan Son Nhat Airport in Ho Chi Minh City, Vietnam, from 2019 to 2023. It aims to assess the specific effects of aircraft noise exposure on sleep quality, as well as changes in exposure due to reduced air traffic during the COVID-19 pandemic. Surveys conducted before and during the pandemic revealed that, despite lower noise levels, residents continued to report high levels of annoyance, indicating a complex exposure-response relationship.
View Article and Find Full Text PDFPLoS One
August 2025
Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam.
In this paper, we investigate using rate-splitting multiple access (RSMA) to facilitate covert communication in a multi-user unmanned aerial vehicle (UAV) downlink communication network that is being monitored by a warden (Willie). We establish a comprehensive analytical framework and derive closed-form expressions for key performance metrics under Nakagami-m fading channels. Specifically, we analyze the detection error probability (DEP) at Willie to quantify system covertness, in addition to outage probability (OP) and ergodic rate (ER) experienced by legitimate users, along with asymptotic analysis in the high signal-to-noise ratio (SNR) region.
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