ArticleClinical research in cardiology : official journal of the German Cardiac Society2026
Impact of residential noise pollution on early-onset myocardial infarction risk results from the DECIBEL-MI (Determination of Environmental CIty-noise's Burden, Exposure, and Link to Myocardial Infarction) study.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundNoise pollution is increasingly recognized as a cardiovascular hazard, yet its contribution to early-onset myocardial infarction (EOMI) has not yet been investigated before.
methodsThis study included patients aged ≤ 50 years with myocardial infarction (MI) who were admitted to the Heart Center Bremen/Germany between 2015 and 2023. Based on traditional risk factors at the time of the index MI, the 10-year cardiovascular risk was estimated using the LIFE-CVD model. Residential noise exposure levels were extracted from the municipal GeoPortal.
resultsIn this study involving 430 young MI patients, the mean age was 45 ± 5 years, and 85.8% were male. Compared with low-noise peers, high-noise patients smoked less (31% vs. 54%), had fewer first-degree relatives with MI (18% vs. 34%), and less diabetes (6% vs. 12%; all p < 0.05). The average noise exposure increased as traditional risk factor exposure decreased (ANOVA p < 0.001 for LIFE-CVD score vs. noise exposure); this inverse association remained even after adjustment in multivariable analysis. In multivariable linear regression, higher noise exposure category was associated with a younger age at first MI (β = - 0.43 years per category; 95% CI - 0.74 to - 0.12; p < 0.01).
conclusionAmong patients with EOMI and few traditional risk factors, elevated residential noise exposure was observed. Higher noise exposure was also associated with a younger age at first MI. These findings are hypothesis-generating and warrant further population-based studies to clarify whether residential noise contributes to MI risk and whether objectively assessed noise metrics could strengthen prevention strategies.
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