Biomass Burning as a Source of Ambient Fine Particulate Air Pollution and Acute Myocardial Infarction

被引:60
|
作者
Weichenthal, Scott [1 ,2 ]
Kulka, Ryan [2 ]
Lavigne, Eric [2 ,3 ]
van Rijswijk, David [2 ]
Brauer, Michael [4 ]
Villeneuve, Paul J. [5 ]
Stieb, Dave [5 ]
Joseph, Lawrence [2 ]
Burnett, Rick T. [6 ]
机构
[1] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, 1020 Pins Ave West, Montreal, PQ H3A 1A2, Canada
[2] Hlth Canada, Air Hlth Sci Div, Ottawa, ON, Canada
[3] Univ Ottawa, Dept Epidemiol Publ Hlth & Prevent Med, Ottawa, ON, Canada
[4] Univ British Columbia, Vancouver, BC, Canada
[5] Carleton Univ, Sch Math & Stat, Dept Hlth Sci, Ottawa, ON, Canada
[6] Hlth Canada, Populat Studies Div, Ottawa, ON, Canada
关键词
WOOD-SMOKE; CASE-CROSSOVER; CARDIOVASCULAR-DISEASE; WILDFIRE SMOKE; HEALTHY HUMANS; EXPOSURE; MATTER; PARTICLES; INFLAMMATION; COAGULATION;
D O I
10.1097/EDE.0000000000000636
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Biomass burning is an important source of ambient fine particulate air pollution (PM2.5) in many regions of the world. Methods: We conducted a time-stratified case-crossover study of ambient PM2.5 and hospital admissions for myocardial infarction (MI) in three regions of British Columbia, Canada. Daily hospital admission data were collected between 2008 and 2015 and PM2.5 data were collected from fixed site monitors. We used conditional logistic regression models to estimate odds ratios (ORs) describing the association between PM2.5 and the risk of hospital admission for MI. We used stratified analyses to evaluate effect modification by biomass burning as a source of ambient PM2.5 using the ratio of levoglucosan/PM2.5 mass concentrations. Results: Each 5 mu g/m(3) increase in 3-day mean PM2.5 was associated with an increased risk of MI among elderly subjects (>= 65 years; OR = 1.06, 95% CI: 1.03, 1.08); risk was not increased among younger subjects. Among the elderly, the strongest association occurred during colder periods (<6.44 degrees C); when we stratified analyses by tertiles of monthly mean biomass contributions to PM2.5 during cold periods, ORs of 1.19 (95% CI: 1.04, 1.36), 1.08 (95% CI: 1.06, 1.09), and 1.04 (95% CI: 1.03, 1.06) were observed in the upper, middle, and lower tertiles (P-trend = 0.003), respectively. Conclusion: Short-term changes in ambient PM2.5 were associated with an increased risk of MI among elderly subjects. During cold periods, increased biomass burning contributions to PM2.5 may modify its association with MI.
引用
收藏
页码:329 / 337
页数:9
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