EFFECTS OF PERSONAL PARTICULATE MATTER ON PEAK EXPIRATORY FLOW RATE OF ASTHMATIC CHILDREN
Resource
SCIENCE OF THE TOTAL ENVIRONMENT v.382 n.1 pp.43-51
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Journal Volume
v.382
Journal Issue
n.1
Pages
43-51
Date Issued
2007
Date
2007
Author(s)
TANG, CHIN-SHENG
CHANG, LI-TE
CHAN, CHANG-CHUAN
Abstract
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 PM1, PM2.5, and PM10 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 (PM2
.5) but also coarse particles (PM2.5-10) are likely to
contribute to the exacerbation of asthmatic conditions.
Stronger lagged effect and cumulative effect of PM on the
decrements in morning PEER 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.
Subjects
particulate matter
peak expiratory flow rate
personal exposures
asthmatic childr
coarse particle
SDGs
Type
journal article
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