Tang Chin-Sheng, Chang Li-Te, Lee Hsien-Chi, Chan Chang-Chuan
Department of Public Health, College of Medicine, Fu Jen Catholic University, Taipei, Taiwan, ROC.
Sci Total Environ. 2007 Aug 15;382(1):43-51. doi: 10.1016/j.scitotenv.2007.04.016. Epub 2007 May 22.
Many researches have shown that the particulate matter (PM) of air pollution could affect the pulmonary functions, especially for susceptible groups such as asthmatic children, where PM might decrease the lung function to different extents. To assess the effects of PM on health, most studies use data from ambient air monitoring sites to represent personal exposure levels. However, the data gathered from these fixed sites might introduce certain statistical uncertainties. The objectives of this study are to evaluate the effects of various size ranges of PM on peak expiratory flow rate (PEFR) of asthmatic children, and to compare the model performance of using different PM measurements (personal exposures versus fixed-site monitoring) in evaluation. Thirty asthmatic children, aged 6 to 12 years, who live near the fixed monitoring site in Sin-Chung City, Taipei County, Taiwan, were recruited for the study. Personal exposures to PM(1), PM(2.5), and PM(10) were measured continuously using a portable particle monitor (GRIMM Mode 1.108, Germany). In addition, an activity diary and questionnaires were used to investigate possible confounding factors in their home environments. The peak expiratory flow rate of each participant was monitored daily in the morning and in the evening for two weeks. Results showed several trends, although not necessarily statistically significant, between personal PM exposures and PEFR measurements in asthmatic children. In general, notable findings tend to implicate that not only fine particles (PM(2.5)) but also coarse particles (PM(2.5-10)) are likely to contribute to the exacerbation of asthmatic conditions. Stronger lagged effect and cumulative effect of PM on the decrements in morning PEFR were also found in the study. Finally, results of linear mixed-effect model analysis suggested that personal PM data was more suitable for the assessment of change in children's PEFR than ambient monitoring data.
许多研究表明,空气污染中的颗粒物(PM)会影响肺功能,尤其是对于哮喘儿童等易感人群,PM可能会在不同程度上降低肺功能。为了评估PM对健康的影响,大多数研究使用来自环境空气监测站点的数据来代表个人暴露水平。然而,从这些固定站点收集的数据可能会引入一定的统计不确定性。本研究的目的是评估不同粒径范围的PM对哮喘儿童呼气峰值流速(PEFR)的影响,并比较在评估中使用不同PM测量方法(个人暴露与固定站点监测)的模型性能。招募了30名年龄在6至12岁、居住在台湾台北县新店市固定监测站点附近的哮喘儿童参与该研究。使用便携式颗粒物监测仪(德国GRIMM 1.108型)连续测量个人对PM1、PM2.5和PM10的暴露情况。此外,还使用活动日记和问卷来调查其家庭环境中可能的混杂因素。在两周内,每天早晚监测每位参与者的呼气峰值流速。结果显示,哮喘儿童的个人PM暴露与PEFR测量之间存在几种趋势,尽管不一定具有统计学意义。总体而言,显著的发现往往意味着不仅细颗粒物(PM2.5),而且粗颗粒物(PM2.5 - 10)都可能导致哮喘病情加重。该研究还发现PM对早晨PEFR下降的滞后效应和累积效应更强。最后,线性混合效应模型分析结果表明,个人PM数据比环境监测数据更适合评估儿童PEFR的变化。