ReviewEXCLI journal2025
Transportation noise pollution as a cardiovascular risk factor: from epidemiological evidence to mechanistic insights.
Review in EXCLI journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Long-term night shift work and cardiometabolic health in healthcare workers: a review of mechanisms and precision intervention strategies.Frontiers in public health · 2026Pooled it
- Influence of Traffic Input Data Quality on Road Noise Estimates Using the CNOSSOS-EU Method.Sensors (Basel, Switzerland) · 2026Article
- Long-term exposure to traffic noise and the incidence of hypertension: a systematic review and meta-analysis of prospective cohort studies.Frontiers in cardiovascular medicine · 2026Review
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transportation noise from road, rail, and aircraft traffic is now recognized as a major cardiovascular risk factor. In Europe, more than 113 million people are chronically exposed to levels above 55 dB(A), resulting in an estimated 1.3 million healthy life-years lost annually from traffic-related noise. Large epidemiological studies consistently demonstrate associations with ischemic heart disease, heart failure, stroke, and type 2 diabetes, with additional links to hypertension, atrial fibrillation, and obesity. Translational and experimental research has clarified the biological plausibility of these findings. The central "noise reaction model" involves activation of the sympathetic nervous system and hypothalamic-pituitary-adrenal axis, with subsequent release of catecholamines and cortisol. These stress responses provoke endothelial dysfunction, vascular inflammation, and oxidative stress, largely through NADPH oxidase 2 activation and nitric oxide synthase uncoupling. At the molecular level, noise alters gene expression networks, disrupts circadian clock regulation, downregulates FOXO3, and induces pro-inflammatory epigenetic modifications. Neuroimaging studies reveal chronic noise activates the amygdala, linking stress perception to vascular inflammation and major adverse cardiovascular events. Adverse effects are most pronounced at night, when noise fragments restorative sleep and amplifies neurohormonal imbalance. Importantly, these pathways overlap with mechanisms of traditional cardiovascular risk factors - diabetes, hypertension, smoking, and hyperlipidemia - suggesting that noise accelerates vascular aging through convergent mechanisms. Combined exposure to noise and air pollution further exerts additive or synergistic effects, underscoring the value of the exposome concept in identifying vulnerable populations. Transportation noise should therefore be considered an established cardiovascular risk factor, requiring equal priority in prevention guidelines and public health policy. See also the graphical abstract(Fig. 1).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.