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Background: Aircraft noise is a growing concern for communities living near airports.
Objectives: This study aimed to explore the impact of aircraft noise on heart structure and function.
Methods: Nighttime aircraft noise levels (L) and weighted 24-hour day-evening-night aircraft noise levels (L) were provided by the UK Civil Aviation Authority for 2011. Health data came from UK Biobank (UKB) participants living near 4 UK major airports (London Heathrow, London Gatwick, Manchester, and Birmingham) who had cardiovascular magnetic resonance (CMR) imaging starting from 2014 and self-reported no hearing difficulties. Generalized linear models investigated the associations between aircraft noise exposure and CMR metrics (derived using a validated convolutional neural network to ensure consistent image segmentations), after adjustment for demographic, socioeconomic, lifestyle, and environmental confounders. Mediation by cardiovascular risk factors was also explored. Downstream associations between CMR metrics and major adverse cardiac events (MACE) were tested in a separate prospective UKB subcohort (n = 21,360), to understand the potential clinical impact of any noise-associated heart remodeling.
Results: Of the 3,635 UKB participants included, 3% experienced higher L (≥45 dB) and 8% higher L (≥50 dB). Participants exposed to higher L had 7% (95% CI: 4%-10%) greater left ventricular (LV) mass and 4% (95% CI: 2%-5%) thicker LV walls with a normal septal-to-lateral wall thickness ratio. This concentric LV remodeling is relevant because a 7% greater LV mass associates with a 32% greater risk of MACE. They also had worse LV myocardial dynamics (eg, an 8% [95% CI: 4%-12%] lower global circumferential strain which associates with a 27% higher risk of MACE). Overall, a hypothetical individual experiencing the typical CMR abnormalities associated with a higher L exposure may have a 4 times higher risk of MACE. Findings were clearest for L but were broadly similar in analyses using L. Body mass index and hypertension appeared to mediate 10% to 50% of the observed associations. Participants who did not move home during follow-up and were continuously exposed to higher aircraft noise levels had the worst CMR phenotype.
Conclusions: Higher aircraft noise exposure associates with adverse LV remodeling, potentially due to noise increasing the risk of obesity and hypertension. Findings are consistent with the existing literature on aircraft noise and cardiovascular disease, and need to be considered by policymakers and the aviation industry.
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http://dx.doi.org/10.1016/j.jacc.2024.09.1217 | DOI Listing |
Eur J Prev Cardiol
September 2025
Department of Internal Medicine, Augusta Health Fishersville, VA, USA.
Anatol J Cardiol
September 2025
Danish Cancer Institute, Danish Cancer Society, Denmark;Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
Environmental noise, particularly from road, rail, and aircraft traffic, is now firmly recognized as a widespread risk factor for cardiovascular disease. About 1 in 3 Europeans is exposed to chronic noise exposure above the guideline thresholds recommended by the World Health Organization (WHO), thus contributing substantially to cardiovascular morbidity and mortality. Robust evidence from recent meta-analyses links transportation noise to ischemic heart disease, heart failure, stroke, hypertension, and type 2 diabetes mellitus.
View Article and Find Full Text PDFBlood 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.
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