PM2.5 air pollution and cause-specific cardiovascular disease mortality
PM2.5 air pollution and cause-specific cardiovascular disease mortality
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DOI：
10.1093/ije/dyz114
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发表时间：
2020-02-01
影响因子：
7.7
通讯作者：
Thurston, George D.
中科院分区：
文献类型：
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作者：
Hayes, Richard B.;Lim, Chris;Thurston, George D.
背景资料：环境空气污染是心血管疾病的一个可改变的风险因素，但在较低水平的细颗粒物下，（PM2.5）暴露，现在发生在美国和其他地方。方法：我们调查了565477名年龄在50至71岁之间的男性和女性的环境PM2.5暴露与死因特异性心血管疾病死亡率的关系，来自美国国立卫生研究院-美国退休人员协会饮食与健康研究。在7.5 x 10（6）人-年的随访期间，使用国家死亡指数确定了41286例心血管疾病死亡，包括23328例缺血性心脏病（IHD）和5894例卒中死亡。PM2.5的估计使用混合土地利用回归（LUR）地质统计模型。多变量考克斯回归模型用于估计相对危险度（RR）和95%置信区间（CI）。在完全校正的模型中，（总范围，2.9-28.0 μ g/m3）与缺血性心脏病死亡率增加16%相关[危害比（HR）1.16; 95% CI 1.09-1.22]和卒中死亡率增加14%（HR 1.14; CI 1.02-1.27）。与PM2.5暴露相比
Background: Ambient air pollution is a modifiable risk factor for cardiovascular disease, yet uncertainty remains about the size of risks at lower levels of fine particulate matter (PM2.5) exposure which now occur in the USA and elsewhere.Methods: We investigated the relationship of ambient PM2.5 exposure with cause-specific cardiovascular disease mortality in 565 477 men and women, aged 50 to 71 years, from the National Institutes of Health-AARP Diet and Health Study. During 7.5 x 10(6) person-years of follow up, 41 286 cardiovascular disease deaths, including 23 328 ischaemic heart disease (IHD) and 5894 stroke deaths, were ascertained using the National Death Index. PM2.5 was estimated using a hybrid land use regression (LUR) geo-statistical model. Multivariate Cox regression models were used to estimate relative risks (RRs) and 95% confidence intervals (CI).Results: Each increase of 10 mu g/m(3) PM2.5 (overall range, 2.9-28.0 mu g/m(3)) was associated, in fully adjusted models, with a 16% increase in mortality from ischaemic heart disease [hazard ratio (HR) 1.16; 95% Cl 1.09-1.22] and a 14% increase in mortality from stroke (HR 1.14; Cl 1.02-1.27). Compared with PM2.5 exposure