Adar Sara Dubowsky, Gold Diane R, Coull Brent A, Schwartz Joel, Stone Peter H, Suh Helen
Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Epidemiology. 2007 Jan;18(1):95-103. doi: 10.1097/01.ede.0000249409.81050.46.
: Exposure to airborne particles may increase cardiac risk by altering autonomic balance. Because these risks may be particularly great for traffic-related particles, we examined associations between particles and heart rate variability as 44 subjects participated in 4 repeated trips aboard a diesel bus.
: Twenty-four hour electrocardiograms were correlated with continuous particle concentrations using generalized additive models controlling for subject, weekday, time, apparent temperature, trip type, activity, medications, and autoregressive terms. Associations were assessed for short- and medium-term moving averages of measured concentrations.
: Heart rate variability was negatively associated with fine particulate matter. Positive associations were demonstrated with heart rate and the low-to-high frequency power ratio. Associations were strongest with 24-hour mean concentrations, although strong short-term associations also were found during bus periods, independent of daily exposures. Overall, associations were greatest for high-frequency power with the following effects per interquartile change in the 24-hour mean concentrations: -15% (95% confidence interval = -17% to -14%) for PM2.5 (4.6 mug/m); -19% (-21% to -17%) for black carbon (459 ng/m); and -14% (-15% to -12%) for fine particle counts (39 pt/cm). For each interquartile change in the 5-minute PM2.5 concentration (10 mug/m) aboard the bus, an 11% (95% confidence interval = -14% to -8%) decrease in high-frequency power was observed.
: This investigation indicates that fine particles are negatively associated with heart rate variability, with an overall trend towards reduced parasympathetic tone. Although daily associations were evident for all particles, short-term associations were predominantly limited to traffic-related particles.
暴露于空气中的颗粒物可能通过改变自主神经平衡增加心脏疾病风险。由于这些风险对于与交通相关的颗粒物可能尤为严重,我们在44名受试者参与4次乘坐柴油公交车的重复行程期间,研究了颗粒物与心率变异性之间的关联。
使用广义相加模型,将24小时心电图与连续颗粒物浓度进行关联分析,该模型控制了受试者、工作日、时间、体感温度、行程类型、活动、药物治疗和自回归项。对测量浓度的短期和中期移动平均值进行关联评估。
心率变异性与细颗粒物呈负相关。心率及低频与高频功率比呈正相关。与24小时平均浓度的关联最强,不过在乘车期间也发现了强烈的短期关联,且与每日暴露无关。总体而言,高频功率的关联最为显著,24小时平均浓度每增加一个四分位数间距,其影响如下:PM2.5(4.6微克/立方米)为-15%(95%置信区间=-17%至-14%);黑碳(459纳克/立方米)为-19%(-21%至-17%);细颗粒物计数(39颗粒/立方厘米)为-14%(-15%至-12%)。在公交车上,5分钟PM2.5浓度(10微克/立方米)每增加一个四分位数间距,高频功率下降11%(95%置信区间=-14%至-8%)。
本研究表明,细颗粒物与心率变异性呈负相关,总体趋势是副交感神经张力降低。尽管所有颗粒物都存在每日关联,但短期关联主要限于与交通相关的颗粒物。