Quantile Regression Analysis of the Distributional Effects of Air Pollution on Blood Pressure, Heart Rate Variability, Blood Lipids, and Biomarkers of Inflammation in Elderly American Men: The Normative Aging Study.
Quantile Regression Analysis of the Distributional Effects of Air Pollution on Blood Pressure, Heart Rate Variability, Blood Lipids, and Biomarkers of Inflammation in Elderly American Men: The Normative Aging Study.
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DOI：
10.1289/ehp.1510044
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发表时间：
2016-08
影响因子：
10.4
通讯作者：
Schwartz J
中科院分区：
文献类型：
--
作者：
Bind MA;Peters A;Koutrakis P;Coull B;Vokonas P;Schwartz J
先前的研究已经观察到空气污染与心脏病之间的关联。主要通过效果修正测试来检验对空气污染影响的敏感性，但几乎没有证据表明空气污染是否会扭曲心血管危险因素的分布。本文旨在研究空气污染对已知心血管生物标志物的分布和异质性影响。 1995 年至 2013 年期间，本研究共纳入了 1,112 名来自规范老龄化研究的男性和马萨诸塞州大波士顿地区的居民，基线平均年龄为 69 岁。我们使用分位数回归和随机斜率模型来研究交通相关反应对血压、心率变异性、复极、血脂和炎症的分布效应和异质性。我们考虑了 28 天平均暴露于颗粒物数量、PM2.5 黑炭和 PM2.5 质量浓度（在研究访问地点附近的单个监测器上测量）。我们观察到一些证据表明交通相关污染物对收缩压、心率变异性、校正 QT 间期、低密度脂蛋白 (LDL) 胆固醇、甘油三酯和细胞间粘附分子 1 (ICAM-1) 的分布影响。例如，在 LDL 胆固醇低于 80 mg/dL 的参与者中，PM2.5 黑碳暴露的四分位数范围增加与 LDL 胆固醇增加 7 mg/dL (95% CI: 5, 10) 相关，而在 LDL 胆固醇水平接近 160 mg/dL 的受试者中，相同的暴露与 16 mg/dL (95% CI: 13, 20) 增加相关 低密度脂蛋白胆固醇。我们在 LDL 分布的 PM2.5 质量和颗粒数量的低百分位数与高百分位数之间观察到类似的异质关联。这些结果表明，空气污染扭曲了心血管危险因素的分布，并且就多种结果而言，对已经处于高风险的个体的影响可能最大。 Bind MA、Peters A、Koutrakis P、Coull B、Vokonas P、Schwartz J. 2016。空气污染对美国老年男性血压、心率变异性、血脂和炎症生物标志物分布影响的分位数回归分析：规范衰老研究。环境健康视角 124：1189–1198； http://dx.doi.org/10.1289/ehp.1510044
Previous studies have observed associations between air pollution and heart disease. Susceptibility to air pollution effects has been examined mostly with a test of effect modification, but little evidence is available whether air pollution distorts cardiovascular risk factor distribution. This paper aims to examine distributional and heterogeneous effects of air pollution on known cardiovascular biomarkers. A total of 1,112 men from the Normative Aging Study and residents of the greater Boston, Massachusetts, area with mean age of 69 years at baseline were included in this study during the period 1995–2013. We used quantile regression and random slope models to investigate distributional effects and heterogeneity in the traffic-related responses on blood pressure, heart rate variability, repolarization, lipids, and inflammation. We considered 28-day averaged exposure to particle number, PM2.5 black carbon, and PM2.5 mass concentrations (measured at a single monitor near the site of the study visits). We observed some evidence suggesting distributional effects of traffic-related pollutants on systolic blood pressure, heart rate variability, corrected QT interval, low density lipoprotein (LDL) cholesterol, triglyceride, and intercellular adhesion molecule-1 (ICAM-1). For example, among participants with LDL cholesterol below 80 mg/dL, an interquartile range increase in PM2.5 black carbon exposure was associated with a 7-mg/dL (95% CI: 5, 10) increase in LDL cholesterol, while among subjects with LDL cholesterol levels close to 160 mg/dL, the same exposure was related to a 16-mg/dL (95% CI: 13, 20) increase in LDL cholesterol. We observed similar heterogeneous associations across low versus high percentiles of the LDL distribution for PM2.5 mass and particle number. These results suggest that air pollution distorts the distribution of cardiovascular risk factors, and that, for several outcomes, effects may be greatest among individuals who are already at high risk. Bind MA, Peters A, Koutrakis P, Coull B, Vokonas P, Schwartz J. 2016. Quantile regression analysis of the distributional effects of air pollution on blood pressure, heart rate variability, blood lipids, and biomarkers of inflammation in elderly American men: the Normative Aging Study. Environ Health Perspect 124:1189–1198; http://dx.doi.org/10.1289/ehp.1510044