US EPA

7467914 

Journal Article 

Manuscript title: Long─term residential exposure to environmental/transportation noise and the incidence of myocardial infarction 

Yankoty, LI; Gamache, P; Plante, C; Goudreau, S; Blais, C; Perron, S; Fournier, M; Ragettli, MS; Fallah-Shorshani, M; Hatzopoulou, M; Liu, Y; Smargiassi, A 

2021 

Yes 

International Journal of Hygiene and Environmental Health
ISSN: 1438-4639
EISSN: 1618-131X 

ELSEVIER GMBH 

MUNICH 

232 

Elsevier 

113666 

English 

33296779 

10.1016/j.ijheh.2020.113666 

WOS:000616072200001 

https://www.sciencedirect.com/science/article/pii/S143846392030612X
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Background Cardiovascular effects of environmental noise are a growing concern. However, the evidence remains largely limited to the association between road traffic noise and hypertension and coronary heart diseases. Objectives To investigate the association between long-term residential exposure to environmental/transportation noise and the incidence of myocardial infarction (MI) in the adult population living in Montreal. Methods An open cohort of adults aged 45 years old and over, living on the island of Montreal and free of MI before entering the cohort was created for the years 2000–2014 with the Quebec Integrated Chronic Disease Surveillance System; a systematic surveillance system from the Canadian province of Quebec starting in 1996. Residential noise exposure was calculated in three ways: 1) total ambient noise levels estimated by Land use regression (LUR) models; 2) road traffic noise estimated by a noise propagation model CadnaA and 3) distances to transportation sources (roads, airport, railways). Incident MI was based on diagnostic codes in hospital admission records. Cox models with time-varying exposures (age as the time axis) were used to estimate the associations with various adjustments (material deprivation indicator, calendar year, nitrogen dioxide, stratification for sex). Indirect adjustment based on ancillary data for smoking was performed. Results 1,065,414 individuals were followed (total of 9,000,443 person-years) and 40,718 (3.8%) developed MI. We found positive associations between total environmental noise, estimated by LUR models and the incidence of MI. Total noise LUR levels ranged from ~44 to ~79 dBA and varied slightly with the metric used. The adjusted hazard ratios (HRs) (also adjusted for smoking) were 1.12 (95% Confidence Intervals [CI]: 1.08–1.15), 1.11 (95%CI: 1.07–1.14) and 1.10 (95%CI: 1.06–1.14) per 10 dBA noise levels increase respectively in Level Accoustic equivalent 24 h (LAeq24 h), Level day-evening-night (Lden) and night level (Lnight). We found a borderline negative association between road noise levels estimated with CadnaA and MI (HR: 0.99 per 10 dBA; 95%CI: 0.98–1.00). Distances to major roads and highways were not associated with MI while the proximity to railways was positively associated with MI (HR for ≤100 vs > 1000 m: 1.07; 95%CI: 1.01–1.14). A negative association was found with the proximity to the airport noise exposure forecast (NEF25); HR (<1 vs >1000 m) = 0.88 (95%CI: 0.81–0.96). Conclusions These associations suggest that exposure to total environmental noise at current urban levels may be related to the incidence of MI. Additional studies with more accurate road noise estimates are needed to explain the counterintuitive associations with road noise and specific transportation sources. 

Community noise; Coronary heart disease; Cardiovascular disease; Traffic-related air pollution