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Exposure error masks the relationship between traffic-related air pollution and heart rate variability.

机译:暴露误差掩盖了交通相关的空气污染与心率变异性之间的关系。

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摘要

OBJECTIVE: We examined whether more precise exposure measures would better detect associations between traffic-related pollution, elemental carbon (EC), nitrogen dioxide (NO2), and heart rate variability (HRV). METHODS: Repeated 24-hour personal and ambient PM2.5, EC, and NO2 were measured for 30 people living in Atlanta, GA. The association between HRV and either ambient concentrations or personal exposures was examined using linear mixed effects models. RESULTS: Ambient PM2.5, EC, NO2, and personal PM2.5 were not associated with HRV. Personal EC and NO2 measured 24 hours before HRV were associated with decreased RMSSD, PNN50, and HF and with increased LF/HF. RMSSD decreased by 10.97% (95% confidence interval: -18.00 to -3.34) for an inter-quartile range change in personal EC (0.81 microg/m3). CONCLUSIONS: Results indicate decreased vagal tone in response to traffic pollutants, which can best be detected with precise personal exposure measures.
机译:目的:我们研究了更精确的接触措施是否可以更好地检测交通相关污染,元素碳(EC),二氧化氮(NO2)和心率变异性(HRV)之间的关联。方法:对佐治亚州亚特兰大市的30个人进行了24小时个人和周围PM2.5,EC和NO2的重复测量。使用线性混合效应模型检查了HRV与环境浓度或个人暴露之间的关联。结果:环境中的PM2.5,EC,NO2和个人PM2.5与HRV无关。 HRV前24小时测得的个人EC和NO2与RMSSD,PNN50和HF降低以及LF / HF升高有关。由于个人EC的四分位数间距变化(0.81 microg / m3),RMSSD下降了10.97%(95%置信区间:-18.00至-3.34)。结论:结果表明对交通污染物的迷走神经张力降低,最好采用精确的个人接触措施来检测。

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