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首页> 外文期刊>International Journal of Environmental Research and Public Health >Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure
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Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure

机译：时间活动性调整后的粒子数浓度与血压的关系

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Emerging evidence suggests long-term exposure to ultrafine particulate matter (UFP, aerodynamic diameter 0.1 μm) is associated with adverse cardiovascular outcomes. We investigated whether annual average UFP exposure was associated with measured systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and hypertension prevalence among 409 adults participating in the cross-sectional Community Assessment of Freeway Exposure and Health (CAFEH) study. We used measurements of particle number concentration (PNC, a proxy for UFP) obtained from mobile monitoring campaigns in three near-highway and three urban background areas in and near Boston, Massachusetts to develop PNC regression models (20-m spatial and hourly temporal resolution). Individual modeled estimates were adjusted for time spent in different micro-environments (time-activity-adjusted PNC, TAA-PNC). Mean TAA-PNC was 22,000 particles/cm 3 (sd = 6500). In linear models (logistic for hypertension) adjusted for the minimally sufficient set of covariates indicated by a directed acyclic graph (DAG), we found positive, non-significant associations between natural log-transformed TAA-PNC and SBP (β = 5.23, 95%CI: ?0.68, 11.14 mmHg), PP (β = 4.27, 95%CI: ?0.79, 9.32 mmHg), and hypertension (OR = 1.81, 95%CI: 0.94, 3.48), but not DBP (β = 0.96, 95%CI: ?2.08, 4.00 mmHg). Associations were stronger among non-Hispanic white participants and among diabetics in analyses stratified by race/ethnicity and, separately, by health status.
机译：越来越多的证据表明，长期接触超细颗粒物（UFP，空气动力学直径<0.1μm）与心血管不良后果有关。我们调查了409名参加高速公路横断面暴露与健康社区横断面评估的成年人的年平均UFP暴露量是否与测得的收缩压（SBP），舒张压（DBP），脉压（PP）和高血压患病率相关（CAFEH）研究。我们使用了在马萨诸塞州波士顿及其附近的三个近高速公路和三个城市背景区域中通过移动监测活动获得的粒子数浓度（PNC，UFP的替代物）的测量结果，开发了PNC回归模型（20米时空时间分辨率） ）。针对在不同的微环境中花费的时间（经过时间活动调整的PNC，TAA-PNC），对各个建模的估计值进行了调整。平均TAA-PNC为22,000颗粒/ cm 3（sd = 6500）。在针对有向无环图（DAG）指示的最小协变量集进行调整的线性模型（高血压的逻辑模型）中，我们发现自然对数​​转换的TAA-PNC与SBP之间存在正相关，无显着相关性（β= 5.23、95 ％CI：？0.68，11.14 mmHg），PP（β= 4.27，95％CI：？0.79，9.32 mmHg）和高血压（OR = 1.81，95％CI：0.94，3.48），但不是DBP（β= 0.96） ，95％CI：≤2.08，4.00mmHg）。在非西班牙裔白人参与者和糖尿病患者中，按种族/民族以及健康状况进行分层的分析之间的关联性较强。

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