Concomitant exposure to air pollution, green space and noise, and risk of myocardial infarction: a cohort study from Denmark

Author:

Poulsen Aslak Harbo1ORCID,Sørensen Mette12ORCID,Hvidtfeldt Ulla A1ORCID,Ketzel Matthias34ORCID,Christensen Jesper H35,Brandt Jørgen35ORCID,Frohn Lise M35ORCID,Massling Andreas3ORCID,Khan Jibran36ORCID,Münzel Thomas7,Raaschou-Nielsen Ole13ORCID

Affiliation:

1. Work, Environment and Cancer, Danish Cancer Society Research Center , Strandboulevarden 49, Copenhagen 2100 , Denmark

2. Department of Natural Science and Environment, Roskilde University , Roskilde , Denmark

3. Department of Environmental Science, Aarhus University , Roskilde , Denmark

4. Department of Civil and Environmental Engineering, Global Centre for Clean Air Research (GCARE) , Surrey , UK

5. iClimate—Interdisciplinary Centre for Climate Change, Aarhus University , Roskilde , Denmark

6. Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University , Roskilde , Denmark

7. Center for Cardiology, Cardiology I, University Medical Center Mainz of the Johannes Gutenberg University , Mainz , Germany

Abstract

Abstract Aims The three correlated environmental exposures (air pollution, road traffic noise, and green space) have all been associated with the risk of myocardial infarction (MI). The present study aimed to analyse their independent and cumulative association with MI. Methods and results In a cohort of all Danes aged 50 or older in the period 2005–17, 5-year time-weighted average exposure to fine particles (PM2.5), ultrafine particles, elemental carbon, nitrogen dioxide (NO2), and road traffic noise at the most and least exposed façades of residence was estimated. Green space around residences was estimated from land use maps. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence interval (CI), and cumulative risk indices (CRIs) were calculated. All expressed per interquartile range. Models were adjusted for both individual and neighbourhood-level socio-demographic covariates. The cohort included 1 964 702 persons. During follow-up, 71 285 developed MI. In single-exposure models, all exposures were associated with an increased risk of MI. In multi-pollutant analyses, an independent association with risk of MI was observed for PM2.5 (HR: 1.026; 95% CI: 1.002–1.050), noise at most exposed façade (HR: 1.024; 95% CI: 1.012–1.035), and lack of green space within 150 m of residence (HR: 1.018; 95% CI: 1.010–1.027). All three factors contributed significantly to the CRI (1.089; 95% CI: 1.076–1.101). Conclusion In a nationwide cohort study, air pollution, noise, and lack of green space were all independently associated with an increased risk of MI. The air pollutant PM2.5 was closest associated with MI risk.

Funder

Health Effects Institute

United States Environmental Protection Agency

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Epidemiology

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