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

被引:9
|
作者
Poulsen, Aslak Harbo [1 ]
Sorensen, Mette [1 ,2 ]
Hvidtfeldt, Ulla A. [1 ]
Ketzel, Matthias [3 ,4 ]
Christensen, Jesper H. [3 ,5 ]
Brandt, Jorgen [3 ,5 ]
Frohn, Lise M. [5 ]
Massling, Andreas [3 ]
Khan, Jibran [3 ,6 ]
Muenzel, Thomas [7 ]
Raaschou-Nielsen, Ole [3 ]
机构
[1] Danish Canc Soc Res Ctr, Work Environm & Canc, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
[2] Roskilde Univ, Dept Nat Sci & Environm, Roskilde, Denmark
[3] Aarhus Univ, Dept Environm Sci, Roskilde, Denmark
[4] Global Ctr Clean Air Res GCARE, Dept Civil & Environm Engn, Guildford, England
[5] Aarhus Univ, iCLIMATE Interdisciplinary Ctr Climate Change, Roskilde, Denmark
[6] Aarhus Univ, Danish Big Data Ctr Environm & Hlth BERTHA, Roskilde, Denmark
[7] Johannes Gutenberg Univ Mainz, Univ Med Ctr Mainz, Cardiol 1, Ctr Cardiol, Mainz, Germany
基金
美国国家环境保护局;
关键词
Epidemiology; Cohort study; Myocardial infarction; Air pollution; Traffic noise; Green space; LONG-TERM EXPOSURE; MORTALITY; ASSOCIATIONS; HEALTH; PM2.5;
D O I
10.1093/eurjpc/zwad306
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 facades 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 facade (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. The present study aimed to analyse their independent and cumulative association of the three correlated environmental exposures: air pollution, road traffic noise, and green space with MI.Air pollution, noise, and lack of green space were all independently associated with MI.Risk estimates for air pollution, noise, and lack of green space were similar, indicating that all may be equally relevant targets for regulatory measures. Graphical Abstract
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页码:131 / 141
页数:11
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