Association between particulate air pollution and daily respiratory and cardiovascular hospital admissions / 中华预防医学杂志
Chinese Journal of Preventive Medicine
;
(12): 96-102, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-270452
ABSTRACT
<p><b>OBJECTIVE</b>To establish concentration-response relationship model for high particulate air pollution and daily hospital admissions for early warning system.</p><p><b>METHODS</b>The Poisson generalized additive model was used with natural cubic spline smoothing for air pollutants of PM10, SO2, NO2, CO to determine the shape of concentration-response relationship. And piecewise linear regression was used for risk analysis.</p><p><b>RESULTS</b>Age-specific analysis suggested the non-linear association between particulate air pollution and hospital admissions in all age groups. In respiratory and cardiovascular admissions, the percentage increase was 0.716%-2.145% and 0.65% for 10 microg/m3 increase in PM10, respectively. Cause-specific analysis suggested the non-linear association between particulate air pollution and hospital admissions for all diseases. The significant association was found with COPD and ischaemic heart disease, and the related percentage increase was 2.94% and 1.94%, respectively. Heating and noheating period analysis suggested the effect of PM10 was higher in noheating period than that in heating period.</p><p><b>CONCLUSION</b>Compared with mortality, particulate air pollution should affect the hospital admissions more greatly, the percentage increase should be higher for hospital admissions than that of mortality (0.25%).</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Respiratory Tract Diseases
/
Cardiovascular Diseases
/
Epidemiology
/
Mortality
/
Air Pollutants
/
Air Pollution
/
Environmental Exposure
/
Hospitalization
Type of study:
Prognostic study
Limits:
Adolescent
/
Adult
/
Aged
/
Child
/
Child, preschool
/
Humans
/
Infant
/
Infant, Newborn
Language:
Chinese
Journal:
Chinese Journal of Preventive Medicine
Year:
2008
Type:
Article
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