Department of Public Health Sciences, the Pennsylvania State University College of Medicine, Hershey, Pennsylvania 17033, USA.
Environ Health Perspect. 2011 Jul;119(7):927-32. doi: 10.1289/ehp.1002640. Epub 2011 Mar 11.
The mechanisms underlying the relationship between particulate matter (PM) air pollution and cardiac disease are not fully understood.
We examined the effects and time course of exposure to fine PM [aerodynamic diameter ≤ 2.5 μm (PM(2.5))] on cardiac arrhythmia in 105 middle-age community-dwelling healthy nonsmokers in central Pennsylvania.
The 24-hr beat-to-beat electrocardiography data were obtained using a high-resolution Holter system. After visually identifying and removing artifacts, we summarized the total number of premature ventricular contractions (PVCs) and premature atrial contractions (PACs) for each 30-min segment. A personal PM(2.5) nephelometer was used to measure individual-level real-time PM(2.5) exposures for 24 hr. We averaged these data to obtain 30-min average time-specific PM(2.5) exposures. Distributed lag models under the framework of negative binomial regression and generalized estimating equations were used to estimate the rate ratio between 10-μg/m³ increases in average PM(2.5) over 30-min intervals and ectopy counts.
The mean ± SD age of participants was 56 ± 8 years, with 40% male and 73% non-Hispanic white. The 30-min mean ± SD for PM(2.5) exposure was 13 ± 22 μg/m³, and PAC and PVC counts were 0.92 ± 4.94 and 1.22 ± 7.18. Increases of 10 μg/m³ in average PM(2.5) concentrations during the same 30 min or the previous 30 min were associated with 8% and 3% increases in average PVC counts, respectively. PM(2.5) was not significantly associated with PAC count.
PM(2.5) exposure within approximately 60 min was associated with increased PVC counts in healthy individuals.
细颗粒物(PM)空气污染与心脏疾病之间关系的机制尚不完全清楚。
我们研究了中宾夕法尼亚州中心的 105 名中年社区居住的健康非吸烟者在暴露于细颗粒物[空气动力学直径≤2.5μm(PM(2.5))]下对心律失常的影响及其时程。
使用高分辨率 Holter 系统获得 24 小时逐搏心电图数据。在对伪迹进行目视识别和去除后,我们总结了每个 30 分钟段的过早心室收缩(PVC)和过早心房收缩(PAC)的总数。个人 PM(2.5)浊度计用于测量个人水平的实时 PM(2.5)暴露 24 小时。我们平均这些数据以获得 30 分钟特定时间的 PM(2.5)暴露平均值。负二项回归和广义估计方程框架下的分布式滞后模型用于估计 30 分钟间隔内平均 PM(2.5)每增加 10μg/m³与异位计数之间的率比。
参与者的平均年龄±标准差为 56±8 岁,其中 40%为男性,73%为非西班牙裔白人。PM(2.5)暴露的 30 分钟平均值±标准差为 13±22μg/m³,PAC 和 PVC 计数分别为 0.92±4.94 和 1.22±7.18。在同一 30 分钟或前 30 分钟内,平均 PM(2.5)浓度增加 10μg/m³,分别导致平均 PVC 计数增加 8%和 3%。PM(2.5)与 PAC 计数无显著相关性。
健康个体中,大约 60 分钟内的 PM(2.5)暴露与 PVC 计数增加有关。