[Concentration-response relationship between particulate air pollution and daily mortality in Taiyuan].
OBJECTIVE
To further study concentration-response relationship between daily mortality and particulate air pollution, to provide scientific basis for making policy.


METHODS
We applied spline model to daily time-series data for Taiyuan city, China from 2004-2005, using concentration of particulate matter less than 10 microm in aerodynamic diameter (PM10) as the exposure measure, and controlling confounding factors, such as season, meteorological factors, day-of-the-week, other air pollutions, etc.


RESULTS
The spline model showed a nonlinear relationship for the relative risks of death for all causes (total deaths) and for specific causes in relation to PM10 concentration, and obtained threshold levels. For total mortality, malignant tumor mortality and cardiovascular-cerebrovascular-respiratory mortality, the threshold levels were 85.00 microg/m3, 89.59 microg/m3, 122.54 microg/m3, respectively using the value of differential deduction.


CONCLUSIONS
Our nonlinear models are appropriate for assessing the effect of particulate air pollution on daily mortality at current ambient levels in Taiyuan, China,in contrast to those of Europe and America.
Zhang
Yan-ping
YP
Taiyuan center for disease control and prevention, Taiyuan 030001, China.
Zhang
Zhi-qin
ZQ
Liu
Xu-hui
XH
Zhang
Xiao-ping
XP
Feng
Bao-qin
BQ
Li
Hai-ping
HP
D000397:Air Pollution / Q000009:adverse effects / Q000706:statistics & numerical data*; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D002681:China / Q000453:epidemiology; D004305:Dose-Response Relationship, Drug; D004781:Environmental Exposure / Q000009:adverse effects / Q000706:statistics & numerical data*; D006801:Humans; D008452:Maximum Allowable Concentration; D009026:Mortality / Q000639:trends*; D009369:Neoplasms / Q000453:epidemiology / Q000209:etiology / Q000401:mortality; D010316:Particle Size; D018570:Risk Assessment; D014505:Urban Population / Q000706:statistics & numerical data