Rojas-Bracho Leonora, Suh Helen H, Catalano Paul J, Koutrakis Petros
School of Public Health, Harvard University, Boston, Massachusetts, USA.
J Air Waste Manag Assoc. 2004 Feb;54(2):207-17. doi: 10.1080/10473289.2004.10470897.
An exposure study of 18 subjects with chronic obstructive pulmonary disease (COPD) living in the Boston, MA, area was conducted. The objective was to examine determinants of personal exposures to particulate matter (PM) with aerodynamic diameters of less than 2.5 microm (PM2.5), less than 10 microm (PM10), and between 2.5 and 10 microm (PM2.5-10). In a previous publication, the analyses of the longitudinal individual-specific relationships among indoor, outdoor, and personal levels showed that the relationships varied by subject and by particle size fraction. In the present paper, statistical and physical models were used to examine personal PM2.5, PM10, and PM2.5-10 exposure covariates. Results indicated that time-weighted indoor concentrations were significant predictors of personal PM2.5, PM10, and PM2.5-10 exposures. Also, time-weighted outdoor concentrations, time spent near smokers, and time spent during transportation were important predictors for PM2.5 but not for personal PM2.5-10 exposures. In turn, time spent cleaning contributed to all size-fraction personal exposures, whereas cooking affected only personal PM2.5-10 exposures. The findings showed that the relationship between personal PM2.5 exposures and the corresponding ambient concentrations was influenced by home air exchange rates (or by ventilation status). Because the particle properties or components causing the health effects are unknown, it is not certain to what extent the risk posed by ambient particles can be reduced by controlling any one of these factors.
对居住在马萨诸塞州波士顿地区的18名慢性阻塞性肺疾病(COPD)患者进行了一项暴露研究。目的是研究空气动力学直径小于2.5微米(PM2.5)、小于10微米(PM10)以及在2.5至10微米之间(PM2.5 - 10)的颗粒物个人暴露的决定因素。在之前的一篇出版物中,对室内、室外和个人水平之间纵向个体特异性关系的分析表明,这些关系因个体和粒径分数而异。在本文中,使用统计和物理模型来研究个人PM2.5、PM10和PM2.5 - 10暴露的协变量。结果表明,时间加权的室内浓度是个人PM2.5、PM10和PM2.5 - 10暴露的重要预测指标。此外,时间加权的室外浓度、在吸烟者附近停留的时间以及在交通出行期间花费的时间是PM2.5暴露的重要预测指标,但对个人PM2.5 - 10暴露而言并非如此。反过来,清洁所花费的时间对所有粒径分数的个人暴露都有影响,而烹饪仅影响个人PM2.5 - 10暴露。研究结果表明,个人PM2.5暴露与相应环境浓度之间的关系受家庭空气交换率(或通风状况)的影响。由于导致健康影响的颗粒物特性或成分尚不清楚,通过控制这些因素中的任何一个能在多大程度上降低环境颗粒物带来的风险尚不确定。