Centre Urbanisation Culture Société, Institut National de la Recherche Scientifique, Montréal, QC H2X 1E3, Canada.
Int J Environ Res Public Health. 2020 Feb 13;17(4):1220. doi: 10.3390/ijerph17041220.
Exposure to traffic-related air pollution and noise exposure contributes to detrimental effects on cardiac function, but the underlying short-term effects related to their simultaneous personal exposure remain uncertain. The aim is to assess the impact of total inhaled dose of particulate matter and total noise exposure on the variations of electrocardiogram (ECG) parameters between pre-cycling and post-cycling periods. Mid-June 2019, we collected four participants' personal exposure data related to traffic-related noise and particulate matter (PM and PM) as well as ECG parameters. Several Bayesian linear models were built to examine a potential association between air pollutants and noise exposure and ECG parameters: heart rate (HR), standard deviation of the normal-to-normal intervals (SDNN), percentage of successive RR intervals that differ by more than 50 ms (pNN50), root mean square of successive RR interval differences (rMSSD), low-frequency power (LF), high-frequency power (HF), and ratio of low- to high-frequency power (LF/HF). We analyzed in total 255 5-min segments of RR intervals. We observed that per 1 µg increase in cumulative inhaled dose of PM was associated with 0.48 (95% CI: 0.22; 15.61) increase in variation of the heart rate, while one percent of total noise dose was associated with 0.49 (95% CI: 0.17; 0.83) increase in variation of heart rate between corresponding periods. Personal noise exposure was no longer significant once the PM was introduced in the whole model, whilst coefficients of the latter that were significant previously remained unchanged. Short-term exposure to traffic-related air and noise pollution did not, however, have an impact on heart rate variability.
接触交通相关的空气污染和噪声暴露会对心脏功能产生不利影响，但与同时个人暴露相关的短期影响尚不确定。目的是评估吸入的颗粒物总量和总噪声暴露对运动前后心电图（ECG）参数变化的影响。2019 年 6 月中旬，我们收集了 4 名参与者与交通相关的噪声和颗粒物（PM 和 PM）以及 ECG 参数的个人暴露数据。建立了几个贝叶斯线性模型，以研究空气污染物和噪声暴露与 ECG 参数之间的潜在关联：心率（HR）、正常到正常间隔的标准差（SDNN）、连续 RR 间隔差异超过 50ms 的百分比（pNN50）、连续 RR 间隔差异的均方根（rMSSD）、低频功率（LF）、高频功率（HF）和低频与高频功率比（LF/HF）。我们总共分析了 255 个 5 分钟的 RR 间隔片段。我们发现，PM 累积吸入剂量每增加 1µg，心率变化增加 0.48（95%CI：0.22；15.61），而总噪声剂量的 1%与相应时间段内心率变化增加 0.49（95%CI：0.17；0.83）相关。一旦将 PM 引入整个模型，个人噪声暴露就不再显著，而之前显著的后者系数保持不变。然而，交通相关的空气和噪声污染的短期暴露并没有对心率变异性产生影响。
